© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsinterp-engineNEWAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 3-ATT-KK
    11. 14138
    Prev
    Next
    INDEX
    Explanations

    adjectives describing the degree of something

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that express intensity or emphasis on qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L3_Hcat_z_lr1.20e-03_l19.00e-01_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.3.attn.hook_z
    Hook Layer
    3
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.02
    1:0.11
    2:0.09
    3:0.03
    4:0.01
    5:0.04
    6:0.06
    7:0.07
    8:0.11
    9:0.07
    10:0.08
    11:0.25
    Negative Logits
     ACTIONS
    -1.25
    Aid
    -1.24
    ibliography
    -1.22
    irming
    -1.20
    achus
    -1.17
    ony
    -1.17
     culminating
    -1.16
     Aid
    -1.14
    udos
    -1.13
     outlining
    -1.13
    POSITIVE LOGITS
     incorrectly
    1.60
     overest
    1.52
     unfocusedRange
    1.35
     wrongly
    1.35
     サーティワン
    1.32
    assetsadobe
    1.32
     unfairly
    1.31
     poorly
    1.31
     underestimated
    1.30
     messed
    1.25
    Activations Density 0.133%

    No Known Activations