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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. 6-RES-JB
    11. 7732
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    Explanations

    hyphenated words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    imental
    -0.64
     Activate
    -0.62
     Yon
    -0.59
     Reading
    -0.52
    pload
    -0.52
     Reborn
    -0.51
     Robb
    -0.51
    perse
    -0.51
    ivably
    -0.50
     Rican
    -0.50
    POSITIVE LOGITS
    estate
    0.82
    processor
    0.68
    pointer
    0.65
    ÂŃ
    0.65
    conference
    0.64
    meter
    0.62
    edition
    0.62
    series
    0.62
    syn
    0.62
    division
    0.62
    Activations Density 0.364%

    No Known Activations