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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. 10583
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    Explanations

    words related to sports, specifically focusing on soccer and baseball

    oai_token-act-pair · gpt-3.5-turbo

    references to various sports, particularly soccer, football, and baseball

    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
    ainer
    -0.74
    ogen
    -0.71
    ãĥ´ãĤ¡
    -0.69
    iment
    -0.68
    ħĭ
    -0.68
    antry
    -0.67
     Editing
    -0.67
    utter
    -0.65
     Neph
    -0.64
    ancies
    -0.64
    POSITIVE LOGITS
     soccer
    1.30
     stadiums
    1.28
     basketball
    1.26
     football
    1.25
     baseball
    1.24
     volleyball
    1.21
     stadium
    1.18
     hockey
    1.14
     jerseys
    1.08
     rugby
    1.06
    Activations Density 0.194%

    No Known Activations