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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. 4969
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    Explanations

    sports-related events or actions

    oai_token-act-pair · gpt-3.5-turbo

    key actions related to scoring and plays in sports

    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
     Canaver
    -0.89
    ulhu
    -0.74
    cair
    -0.66
    Rot
    -0.65
     queries
    -0.65
     iterations
    -0.63
     Chronicles
    -0.63
     circles
    -0.62
     Lists
    -0.61
     acron
    -0.61
    POSITIVE LOGITS
     victory
    1.28
     win
    1.20
    winner
    0.99
    goal
    0.95
     advantage
    0.94
     winner
    0.94
     consolation
    0.92
     points
    0.91
     foothold
    0.89
     result
    0.88
    Activations Density 0.168%

    No Known Activations