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    Explanations

    references to urban settings and community-related topics such as street culture and criminal activity

    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
    0:0.03
    1:0.02
    2:0.07
    3:0.20
    4:0.02
    5:0.02
    6:0.17
    7:0.18
    8:0.03
    9:0.04
    10:0.06
    11:0.10
    Negative Logits
    ipel
    -1.44
    ombs
    -1.31
    abase
    -1.29
    vae
    -1.25
     Triangle
    -1.22
    uscript
    -1.19
    itely
    -1.17
     Rosenstein
    -1.17
    ramer
    -1.15
    uckland
    -1.14
    POSITIVE LOGITS
    rollers
    1.19
    士
    1.08
    ontent
    1.07
    hess
    1.07
    Street
    1.06
     beaut
    1.04
    fare
    1.00
    ooters
    1.00
    aminer
    0.96
     asses
    0.96
    Activations Density 0.017%

    No Known Activations