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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. 4-RES-JB
    11. 1208
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    Explanations

    phrases related to medical conditions, diseases, treatments, and bodily functions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with biological processes and health

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

    No Comments

    Negative Logits
    rek
    -0.82
    udicrous
    -0.72
    DEM
    -0.72
    fell
    -0.71
     Franch
    -0.70
    cash
    -0.70
    arthed
    -0.69
    ouk
    -0.69
    apest
    -0.68
    udeb
    -0.68
    POSITIVE LOGITS
     neurotrans
    1.34
     enzymes
    1.32
     enzyme
    1.25
     secretion
    1.19
     hormones
    1.17
     proteins
    1.17
     hormone
    1.16
     receptors
    1.14
     receptor
    1.14
     nutrients
    1.13
    Activations Density 0.467%

    No Known Activations