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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. 1-RES-JB
    11. 23131
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    Explanations

    references to teachers in news articles or discussions

    oai_token-act-pair · gpt-3.5-turbo

    references to teachers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ous
    -0.63
    00200000
    -0.61
     Rome
    -0.61
    ixon
    -0.60
     diplomatic
    -0.59
    osi
    -0.59
     Townsend
    -0.58
     Cors
    -0.58
     Dav
    -0.58
    ibaba
    -0.57
    POSITIVE LOGITS
    heet
    1.09
    achers
    0.97
    essor
    0.96
     teachers
    0.96
    girls
    0.95
    paces
    0.95
     educators
    0.94
     Teachers
    0.91
    chool
    0.89
    hig
    0.88
    Activations Density 0.010%

    No Known Activations