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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. 21964
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    Explanations

    names of individuals, potentially actors or characters in a movie or some other type of production

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    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
    conom
    -0.59
    theless
    -0.58
     Millennials
    -0.57
    âĸ¬
    -0.56
     FANTASY
    -0.56
     Narendra
    -0.54
    REF
    -0.53
     millennials
    -0.53
     Intellectual
    -0.53
     COP
    -0.53
    POSITIVE LOGITS
    mberg
    0.85
    hetti
    0.84
    icz
    0.82
    cock
    0.82
    elsh
    0.81
    alli
    0.80
    kson
    0.80
    cko
    0.78
    quist
    0.77
    enson
    0.77
    Activations Density 0.257%

    No Known Activations