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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. 2-RES-JB
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    Explanations

    specific mentions of "CI" followed by a number, potentially related to a specific concept or abbreviation

    oai_token-act-pair · gpt-3.5-turbo

    references to "CI" (confidential informants) within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wagen
    -0.92
    sburg
    -0.89
    ding
    -0.85
    andowski
    -0.83
    loads
    -0.82
    boards
    -0.78
    spread
    -0.78
    load
    -0.78
    spr
    -0.77
    sch
    -0.77
    POSITIVE LOGITS
    CI
    1.04
     CI
    0.98
     competence
    0.85
    ourage
    0.80
    ANE
    0.77
    UTION
    0.77
    CE
    0.76
    erity
    0.74
    ANCE
    0.74
    ullivan
    0.69
    Activations Density 0.008%

    No Known Activations