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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. 11-RES-JB
    11. 6659
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    Explanations

    numerals with decimals and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    linger
    -0.73
    bed
    -0.64
    bing
    -0.60
    umbn
    -0.60
    rays
    -0.57
    wered
    -0.57
    ble
    -0.56
     Pett
    -0.56
    played
    -0.55
    omnia
    -0.55
    POSITIVE LOGITS
     ERA
    1.00
    625
    0.86
    375
    0.83
     cents
    0.83
     lakh
    0.82
    75
    0.82
    3333
    0.81
     trillion
    0.79
    BTC
    0.78
     GPA
    0.77
    Activations Density 0.060%

    No Known Activations