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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. 8-RES-JB
    11. 2156
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    Explanations

    sports-related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    key actions and events in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anguage
    -0.88
     heirs
    -0.87
     envis
    -0.77
     membership
    -0.77
     governments
    -0.75
    reprene
    -0.75
     epigen
    -0.75
    AU
    -0.75
     entit
    -0.74
    onym
    -0.73
    POSITIVE LOGITS
     blitz
    1.04
     fumble
    1.00
     defensively
    1.00
     Defensive
    0.99
     offensively
    0.98
     scrimmage
    0.98
     halftime
    0.98
     turnovers
    0.97
     batted
    0.97
     Offensive
    0.97
    Activations Density 0.615%

    No Known Activations