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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8973
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    INDEX
    Explanations

    chemical reactions and processes related to the breakdown of substances

    oai_token-act-pair · gpt-3.5-turbo

    biochemical processes related to metabolism and digestion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -0.90
    Privacy
    -0.81
    ploma
    -0.80
    Politics
    -0.79
    intend
    -0.79
    College
    -0.79
    HUD
    -0.76
    Iss
    -0.76
    DCS
    -0.75
    Baltimore
    -0.74
    POSITIVE LOGITS
     molecules
    1.18
     calcium
    1.14
     molecule
    1.14
     electrons
    1.13
     enzymes
    1.12
     enz
    1.11
     enzyme
    1.10
     amino
    1.09
     proteins
    1.06
     absorbed
    1.05
    Activations Density 1.101%

    No Known Activations