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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. 11687
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    Explanations

    technical terms related to data processing and analysis

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and processes related to data processing and analysis

    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
    taker
    -0.70
    guard
    -0.70
     boo
    -0.68
    Lago
    -0.65
     Anthem
    -0.65
    horn
    -0.64
     Deity
    -0.64
    KNOWN
    -0.64
    abouts
    -0.61
    ById
    -0.61
    POSITIVE LOGITS
     findings
    1.10
     insights
    0.99
    ĸļ
    0.97
     discoveries
    0.97
     computational
    0.93
     analyses
    0.92
     demonstrated
    0.89
     molecular
    0.88
     simulations
    0.88
     scientists
    0.88
    Activations Density 0.805%

    No Known Activations