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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. 11-RES-JB
    11. 23112
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    Explanations

    quotes from or mentions of reporters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of reporters or press-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UTH
    -0.69
     conflic
    -0.61
    xe
    -0.60
    jac
    -0.60
    emonic
    -0.60
    cer
    -0.59
    ĵ
    -0.58
     Adapt
    -0.56
    senal
    -0.55
     âĺħ
    -0.55
    POSITIVE LOGITS
     aboard
    1.14
     afterward
    1.04
     gathered
    1.01
     backstage
    0.93
     assembled
    0.93
     outside
    0.91
     afterwards
    0.91
     stationed
    0.89
     after
    0.83
    hips
    0.82
    Activations Density 0.048%

    No Known Activations