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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. 12222
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    Explanations

    mentions of sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and their performance

    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
     externalToEVAOnly
    -0.81
     umb
    -0.72
     filament
    -0.71
     interf
    -0.70
     cafes
    -0.69
     compan
    -0.69
     café
    -0.68
    hex
    -0.67
     autonom
    -0.66
     erotic
    -0.66
    POSITIVE LOGITS
     Rankings
    1.16
     Picks
    1.14
     Prediction
    1.11
     Rookie
    1.11
     STATS
    1.10
     TEAM
    1.08
     Ranking
    1.06
     Offense
    1.06
     Playoff
    1.05
     FANTASY
    1.05
    Activations Density 0.324%

    No Known Activations