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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 6952
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    Explanations

    mentions of sports teams or players

    oai_token-act-pair · gpt-3.5-turbo

    references to football (soccer) teams and matches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.76
     FOIA
    -0.75
    schild
    -0.71
     Trayvon
    -0.70
    iannopoulos
    -0.70
    abbage
    -0.68
     enumer
    -0.67
    aminer
    -0.67
     takedown
    -0.66
     ______
    -0.66
    POSITIVE LOGITS
    liga
    1.20
     Madrid
    1.13
     Juventus
    1.13
    ussia
    1.11
    letico
    1.11
     Bayern
    1.07
    Arsenal
    1.05
     Liga
    1.04
     UEFA
    1.02
     Barcelona
    1.02
    Activations Density 0.219%

    No Known Activations