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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. 9-RES-JB
    11. 19984
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    Explanations

    sports-related terms and team names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams and their players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.83
     Canaver
    -0.83
     Cosponsors
    -0.80
     Rowling
    -0.77
    uador
    -0.72
    nih
    -0.72
    ocon
    -0.71
    ufact
    -0.71
     Bloomberg
    -0.70
     Fairfax
    -0.70
    POSITIVE LOGITS
     goalkeeper
    1.04
     defences
    0.98
     defensively
    0.97
     hitters
    0.97
     teammate
    0.96
     defenders
    0.95
     turnovers
    0.95
     scoring
    0.94
     scoreboard
    0.92
     defenses
    0.92
    Activations Density 0.178%

    No Known Activations