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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. 3-RES-JB
    11. 4443
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    Explanations

    information related to sports, particularly about players and their performances

    oai_token-act-pair · gpt-3.5-turbo

    references to sports players and their professional statuses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.67
    ilar
    -0.53
    sylv
    -0.52
    respond
    -0.47
    eteria
    -0.47
     Twain
    -0.47
     Feminist
    -0.47
    shapeshifter
    -0.46
    abel
    -0.46
    edition
    -0.46
    POSITIVE LOGITS
    Players
    0.76
     Players
    0.73
     player
    0.71
     players
    0.71
     Player
    0.68
     defender
    0.68
     quarterback
    0.67
     league
    0.67
     Football
    0.66
    players
    0.65
    Activations Density 1.537%

    No Known Activations