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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. 6636
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    rankings and statistics related to sports teams and players

    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
    =#
    -0.60
    unity
    -0.60
    independence
    -0.59
    iman
    -0.53
     Spock
    -0.52
    ollah
    -0.52
    bek
    -0.52
    cop
    -0.51
     independence
    -0.51
    È
    -0.51
    POSITIVE LOGITS
     standings
    1.03
     behind
    0.92
    behind
    0.87
     among
    0.86
     rankings
    0.84
     scoring
    0.83
     according
    0.82
     amongst
    0.81
     averaging
    0.80
     offensively
    0.79
    Activations Density 0.179%

    No Known Activations