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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. 4201
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    INDEX
    Explanations

    exclamatory phrases expressing strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong reactions or assessments about situations

    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
    ï¸
    -0.67
    ="#
    -0.65
     Ez
    -0.62
    \<
    -0.62
    office
    -0.62
    =[
    -0.60
    onduct
    -0.60
     ¶
    -0.60
    tsky
    -0.59
     Oswald
    -0.59
    POSITIVE LOGITS
    ils
    0.97
     lot
    0.90
     heck
    0.89
     coincidence
    0.83
     bunch
    0.79
    historic
    0.75
     wonderful
    0.73
    Reviewer
    0.71
     mistake
    0.71
     waste
    0.70
    Activations Density 0.046%

    No Known Activations