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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. 11-RES-JB
    11. 1649
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    Explanations

    questions or actions that involve decision-making

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions and expressions of confusion or curiosity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Croat
    -0.53
     tremend
    -0.52
     Typhoon
    -0.51
    2020
    -0.47
    ERG
    -0.46
     Seen
    -0.44
     Bild
    -0.44
     Sins
    -0.44
     IPM
    -0.43
     Belg
    -0.43
    POSITIVE LOGITS
    seat
    0.52
    sheet
    0.50
    taboola
    0.49
    psc
    0.48
    chest
    0.47
    idis
    0.46
    attering
    0.46
    iji
    0.46
    enos
    0.46
    excluding
    0.46
    Activations Density 0.791%

    No Known Activations