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

    the word "noticed."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word “notice” and its variations, indicating observations or awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quer
    -0.73
    prep
    -0.73
     negotiator
    -0.69
    export
    -0.67
    cop
    -0.67
    wives
    -0.66
    cise
    -0.66
    ccording
    -0.65
    ãĥ³ãĤ¸
    -0.65
    venge
    -0.65
    POSITIVE LOGITS
     how
    0.78
    cules
    0.76
    ury
    0.73
     noticed
    0.71
    adow
    0.68
    lessly
    0.66
     notices
    0.64
    flies
    0.64
    enance
    0.63
     spikes
    0.62
    Activations Density 0.023%

    No Known Activations