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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. 6-RES-JB
    11. 23762
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    INDEX
    Explanations

    mentions of communication methods, particularly those related to technology or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various "lines," particularly in terms of communication and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.86
    sburg
    -0.82
    rament
    -0.82
    undai
    -0.78
    IRD
    -0.77
    rito
    -0.76
    emetery
    -0.75
    rum
    -0.72
    ptions
    -0.72
    iddles
    -0.71
    POSITIVE LOGITS
    backer
    1.19
    aments
    0.76
    lihood
    0.75
    breaks
    0.73
    break
    0.68
    phrine
    0.68
    lined
    0.68
     endings
    0.67
    xual
    0.66
     crossings
    0.65
    Activations Density 0.029%

    No Known Activations