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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. 5982
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    Explanations

    terms related to choreography

    oai_token-act-pair · gpt-3.5-turbo

    references to choreography and chronologies

    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
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    No Comments

    Negative Logits
    yip
    -0.82
    erness
    -0.77
     Sandwich
    -0.69
     Civic
    -0.69
    WER
    -0.68
    foundland
    -0.67
    holders
    -0.66
     Enterprise
    -0.65
     Catalyst
    -0.65
    llah
    -0.64
    POSITIVE LOGITS
    ographed
    1.95
    ograph
    1.76
    ographs
    1.65
    ograp
    1.63
    ographic
    1.46
    ographer
    1.46
    ography
    1.45
    ographers
    1.34
    ographies
    1.31
    ographically
    1.26
    Activations Density 0.054%

    No Known Activations