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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. 9-RES-JB
    11. 2623
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    Explanations

    data trends and changes over time

    oai_token-act-pair · gpt-3.5-turbo

    trends and changes in 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.57
    erved
    -0.57
    ician
    -0.55
    earable
    -0.54
    ridges
    -0.53
    insk
    -0.52
    rine
    -0.52
    inas
    -0.51
     intercept
    -0.50
    icist
    -0.49
    POSITIVE LOGITS
     sharply
    0.80
     to
    0.79
    quickShipAvailable
    0.77
     abruptly
    0.77
    gradation
    0.72
     drastically
    0.70
     thereto
    0.70
     dramatically
    0.68
     onto
    0.67
    Ń·
    0.67
    Activations Density 0.389%

    No Known Activations