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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. 7-RES-JB
    11. 17933
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    Explanations

    names or words related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly those related to people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orius
    -0.70
    rency
    -0.66
     Nationwide
    -0.63
     cones
    -0.61
    inventoryQuantity
    -0.61
     Capitals
    -0.61
    hement
    -0.61
    wcs
    -0.60
    rf
    -0.60
    DCS
    -0.59
    POSITIVE LOGITS
    pas
    0.72
    andise
    0.69
    cade
    0.66
     Mania
    0.65
    Zen
    0.62
    coni
    0.60
    oshi
    0.58
    ée
    0.57
    oka
    0.57
     Goff
    0.57
    Activations Density 0.110%

    No Known Activations