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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. 13351
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    Explanations

    statistics and information related to sports

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to football players' performance

    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
    -0.75
    laws
    -0.75
    catentry
    -0.73
     Sweeney
    -0.72
    inventoryQuantity
    -0.68
     Skinner
    -0.64
    kens
    -0.64
     Yanuk
    -0.62
    */(
    -0.62
    iatus
    -0.62
    POSITIVE LOGITS
     touchdowns
    1.44
     touchdown
    1.34
     TDs
    1.27
     yards
    1.26
     receptions
    1.21
     rushing
    1.18
     sacks
    1.04
     punt
    1.04
     interceptions
    1.03
     kickoff
    1.03
    Activations Density 0.098%

    No Known Activations