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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. 6-RES-JB
    11. 9575
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    Explanations

    proper nouns related to various individuals and places

    oai_token-act-pair · gpt-3.5-turbo

    markers indicating the end of a document or text block

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AMI
    -0.84
    acca
    -0.78
     mater
    -0.72
    aceutical
    -0.71
     smoked
    -0.70
    ENDED
    -0.69
    andem
    -0.67
    ensed
    -0.67
    eways
    -0.65
    imaru
    -0.64
    POSITIVE LOGITS
    teenth
    0.97
    gex
    0.73
    parts
    0.66
    teen
    0.65
    lean
    0.65
    sburg
    0.65
    arts
    0.64
    cker
    0.64
    ful
    0.63
    cation
    0.63
    Activations Density 0.043%

    No Known Activations