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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. 0-RES-JB
    6. 19719
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    Explanations

    nutritional information in the format of milligrams (mg) or grams (g)

    oai_token-act-pair · gpt-3.5-turbo

    references to nutritional information and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Crus
    -0.75
     revolution
    -0.70
     uncovered
    -0.67
     Catalan
    -0.66
     Catal
    -0.66
     basket
    -0.66
     astronomy
    -0.62
     carriage
    -0.61
     Colonial
    -0.61
     uncover
    -0.60
    POSITIVE LOGITS
    mg
    3.99
     mg
    2.67
    MG
    1.72
     μg
    1.41
    ml
    1.38
    mc
    1.34
    mL
    1.28
     mL
    1.19
     mc
    1.16
    μ
    1.15
    Activations Density 0.013%

    No Known Activations