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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 3689
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    Explanations

    proper nouns or names of companies/organizations

    oai_token-act-pair · gpt-3.5-turbo

    introductory phrases and words that indicate emphasis or specifics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĢĤ
    -0.63
    ?).
    -0.62
     ðŁĻĤ
    -0.61
     Annotations
    -0.58
    .*
    -0.57
    ãĤĭ
    -0.57
     ãĢĮ
    -0.56
    .).
    -0.56
    ↵Âł
    -0.56
     ----------------
    -0.56
    POSITIVE LOGITS
    withstanding
    1.03
    resa
    1.02
    xiety
    0.91
    icularly
    0.89
    %"
    0.89
    usterity
    0.87
     [
    0.86
    odore
    0.86
    ctions
    0.84
    ircraft
    0.83
    Activations Density 0.256%

    No Known Activations