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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. 8-RES-JB
    11. 2550
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    Explanations

    words related to a specific situation or context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific situations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipedia
    -0.79
    cott
    -0.73
    azines
    -0.73
    cot
    -0.73
    tool
    -0.70
    rotein
    -0.69
    rica
    -0.69
     cle
    -0.69
    rib
    -0.69
    sonian
    -0.68
    POSITIVE LOGITS
     unfolding
    0.96
     Situation
    0.93
     quo
    0.91
    ally
    0.89
    ually
    0.89
    ual
    0.87
     involving
    0.85
     situations
    0.84
    uations
    0.82
    uation
    0.81
    Activations Density 0.034%

    No Known Activations