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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. 8-RES-JB
    11. 9524
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    Explanations

    numerical values within text, specifically the number 10 and mentions of minutes, years, or percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    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
    iannopoulos
    -0.67
    PDATE
    -0.66
    querque
    -0.65
    ADRA
    -0.64
     Masquerade
    -0.63
    una
    -0.62
    Ļ½
    -0.61
    EVA
    -0.61
    ħĭ
    -0.60
     Conversation
    -0.59
    POSITIVE LOGITS
    576
    0.96
    000
    0.76
    arching
    0.71
    001
    0.65
    erences
    0.65
    1007
    0.63
    isSpecialOrderable
    0.62
    11
    0.62
    bringer
    0.61
    ruary
    0.60
    Activations Density 0.176%

    No Known Activations