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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. 20266
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    INDEX
    Explanations

    proper nouns related to educational institutions, particularly Harvard University

    oai_token-act-pair · gpt-3.5-turbo

    references to Harvard

    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
    mble
    -0.84
    anwhile
    -0.82
    uary
    -0.79
    nesota
    -0.78
    eers
    -0.77
    xual
    -0.76
     transitional
    -0.76
    ictionary
    -0.76
    atoon
    -0.73
    unct
    -0.72
    POSITIVE LOGITS
    Har
    1.30
    riet
    1.14
    vard
    1.02
    vey
    0.90
    rod
    0.89
    emin
    0.84
    rington
    0.81
    vest
    0.79
    baugh
    0.76
    ihar
    0.76
    Activations Density 0.005%

    No Known Activations