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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. 10-RES-JB
    11. 8012
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    Explanations

    mentions of specific sports leagues, teams, and players, particularly in ice hockey and other sports like basketball and rugby

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and leagues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Romney
    -0.76
    BOOK
    -0.74
    yden
    -0.70
    benef
    -0.70
    warn
    -0.70
    speech
    -0.69
    respond
    -0.69
    ................................................................
    -0.69
     Spock
    -0.69
     rede
    -0.69
    POSITIVE LOGITS
     leagues
    1.40
     MLS
    1.37
     league
    1.37
     USL
    1.26
     Premiership
    1.23
     Serie
    1.20
     NHL
    1.16
     Bundesliga
    1.16
     NBA
    1.16
     Football
    1.15
    Activations Density 0.314%

    No Known Activations