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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. 11-RES-JB
    11. 12973
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    INDEX
    Explanations

    sports-related terms, such as team names and player names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific football teams and player transfers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maxwell
    -0.80
    abbage
    -0.76
    Larry
    -0.70
     burner
    -0.70
     informants
    -0.68
    aminer
    -0.67
     enumer
    -0.67
    peak
    -0.65
    uscript
    -0.63
     takedown
    -0.61
    POSITIVE LOGITS
     Madrid
    1.12
    letico
    1.11
     Juventus
    1.11
     Liga
    1.08
     Dynamo
    1.07
     Bundesliga
    1.07
     Bayern
    1.05
     Olymp
    1.04
     Dortmund
    1.03
     UEFA
    1.01
    Activations Density 0.129%

    No Known Activations