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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. 6886
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    Explanations

    words related to sports teams and their performance

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of sports teams and their performance attributes

    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
     Shutterstock
    -0.78
    TEXT
    -0.78
     Assange
    -0.73
     Vanity
    -0.69
     Cosponsors
    -0.69
     Canaver
    -0.68
     Snowden
    -0.68
    adata
    -0.67
    speech
    -0.67
     Koran
    -0.66
    POSITIVE LOGITS
     teams
    1.47
     underdog
    1.39
     squad
    1.30
     team
    1.29
     squads
    1.26
     contenders
    1.20
     playoff
    1.18
     Teams
    1.15
    team
    1.15
     powerhouse
    1.09
    Activations Density 0.301%

    No Known Activations