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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. 19268
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    Explanations

    terms related to data analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to analytical processes and methods

    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
    mint
    -0.75
    guards
    -0.68
    guard
    -0.68
    hood
    -0.67
    lighting
    -0.65
    birth
    -0.64
    ardless
    -0.64
    finger
    -0.63
    cot
    -0.63
     Agric
    -0.63
    POSITIVE LOGITS
    mble
    0.82
     analy
    0.79
     analysis
    0.78
    analy
    0.77
    alyses
    0.77
    analysis
    0.77
     partName
    0.76
    rador
    0.75
     tools
    0.75
    tical
    0.74
    Activations Density 0.053%

    No Known Activations