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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. 9-RES-JB
    11. 10204
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    INDEX
    Explanations

    descriptions of unusual or exaggerated situations or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    humorous or exaggerated descriptions and reviews, particularly those related to unique experiences or performances

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    OTO
    -0.76
    isSpecialOrderable
    -0.74
    actionDate
    -0.74
    untled
    -0.71
    ivating
    -0.69
     Tayyip
    -0.68
    anwhile
    -0.66
    umed
    -0.66
    pecting
    -0.64
    ivas
    -0.64
    POSITIVE LOGITS
     predicament
    0.80
     existence
    0.80
     selves
    0.80
     tale
    0.76
     manners
    0.75
     stance
    0.74
     excuse
    0.73
     conco
    0.73
     relationship
    0.73
     basis
    0.72
    Activations Density 0.925%

    No Known Activations