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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. 0-RES-JB
    11. 7835
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    Explanations

    words related to professional sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to leagues in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gum
    -0.71
     depressed
    -0.67
     eaves
    -0.66
     shrimp
    -0.64
     Axel
    -0.64
     tur
    -0.64
     OB
    -0.63
     ellipt
    -0.62
     gro
    -0.62
     pump
    -0.61
    POSITIVE LOGITS
    League
    4.30
    league
    2.33
     League
    2.16
    NBA
    1.66
     league
    1.50
    NFL
    1.45
     leagues
    1.36
    Football
    1.31
    liga
    1.23
     Bundesliga
    1.22
    Activations Density 0.009%

    No Known Activations