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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 10-ATT-KK
    11. 7130
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    Explanations

    quantifiable details related to damage and destruction in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L10_Hcat_z_lr1.20e-03_l11.30e+00_ds24576_bs4096_dc1.00e-05_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.10.attn.hook_z
    Hook Layer
    10
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.04
    1:0.03
    2:0.03
    3:0.04
    4:0.19
    5:0.02
    6:0.05
    7:0.22
    8:0.03
    9:0.05
    10:0.03
    11:0.22
    Negative Logits
     fundraiser
    -2.36
    osponsors
    -2.35
    Session
    -2.32
     Session
    -2.28
    strings
    -2.19
    bill
    -2.17
    ommel
    -2.16
    brainer
    -2.14
    addle
    -2.13
    session
    -2.13
    POSITIVE LOGITS
     damaged
    2.86
     mang
    2.52
     ruined
    2.51
     shattered
    2.46
     impacted
    2.44
     wrecked
    2.35
     crippled
    2.30
     pumps
    2.30
     vehicles
    2.29
     evacuated
    2.26
    Activations Density 0.025%

    No Known Activations