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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. 6-RES-JB
    11. 15201
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    Explanations

    specific sports-related information, such as scores and game outcomes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and scores related to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     paed
    -0.77
    atography
    -0.73
    20439
    -0.71
    aird
    -0.70
     profession
    -0.69
     modelling
    -0.69
     photoc
    -0.68
     journals
    -0.68
    folios
    -0.68
    edi
    -0.67
    POSITIVE LOGITS
     playoff
    1.06
     undefeated
    1.06
     Playoff
    1.05
     Coliseum
    1.01
     unbeaten
    0.98
     postseason
    0.93
     Stadium
    0.93
     championship
    0.90
     playoffs
    0.88
     halftime
    0.85
    Activations Density 0.838%

    No Known Activations