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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. 4-RES-JB
    11. 20451
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    Explanations

    references to positions or roles in American football

    oai_token-act-pair · gpt-3.5-turbo

    terms related to football positions, particularly wide receivers and tight ends

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

    No Comments

    Negative Logits
    heit
    -0.81
     UNESCO
    -0.77
     Wink
    -0.74
     hem
    -0.73
     Humanity
    -0.73
    20439
    -0.71
     Bleach
    -0.70
     Privacy
    -0.70
     Governments
    -0.67
     EDT
    -0.66
    POSITIVE LOGITS
     teammates
    0.86
    team
    0.86
     locker
    0.85
    Coach
    0.84
     linebackers
    0.83
     linebacker
    0.80
     coach
    0.80
     league
    0.77
     lineman
    0.75
     rookie
    0.74
    Activations Density 0.060%

    No Known Activations