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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. 16310
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    Explanations

    statistics related to sports

    oai_token-act-pair · gpt-3.5-turbo

    statistical metrics related to sports performance

    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
    gue
    -0.71
    rog
    -0.70
    reon
    -0.70
    artisan
    -0.69
    ragon
    -0.67
    Newsletter
    -0.66
    igmatic
    -0.65
    bard
    -0.64
    yrinth
    -0.64
    apego
    -0.62
    POSITIVE LOGITS
     total
    1.10
     miles
    1.06
     calories
    1.05
     wins
    1.04
     deaths
    1.03
     turnovers
    1.03
     Yards
    1.02
     Deaths
    1.01
     Calories
    1.00
     kills
    0.99
    Activations Density 0.615%

    No Known Activations