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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. 700
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    INDEX
    Explanations

    terms related to cell proliferation, concentration gradients, oxidative reactions, and enzymatic processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biological processes and cellular functions

    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
    asant
    -0.73
     gri
    -0.71
    wered
    -0.70
     Nadu
    -0.70
    vana
    -0.69
    epad
    -0.68
    folk
    -0.67
     Lunch
    -0.67
    isl
    -0.67
    yright
    -0.64
    POSITIVE LOGITS
     inhibition
    1.20
     cascade
    1.18
     enzymes
    1.17
     inhibitors
    1.12
     pathway
    1.09
     inhibitor
    1.07
     pathways
    1.06
     mediated
    1.02
     enzyme
    1.01
     initiation
    1.01
    Activations Density 0.203%

    No Known Activations