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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. 5-RES-JB
    6. 1729
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    Explanations

    enzyme-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to enzymes and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lar
    -0.82
     Nights
    -0.81
    enegger
    -0.76
     Bans
    -0.74
    ¥µ
    -0.74
    stretched
    -0.74
     Eliot
    -0.73
     Narr
    -0.73
    untu
    -0.73
    ahon
    -0.71
    POSITIVE LOGITS
     enzyme
    1.36
     enzymes
    1.20
     inhibitors
    1.18
     inhibitor
    1.18
    zyme
    0.99
     enz
    0.93
     inhibition
    0.91
     cataly
    0.91
     indu
    0.85
     digestion
    0.85
    Activations Density 0.017%

    No Known Activations