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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. 4-RES-JB
    11. 7110
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    Explanations

    specific references or mentions in a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word 'reference' and its context

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

    No Comments

    Negative Logits
    awk
    -0.81
    keye
    -0.80
    Ģ
    -0.78
    ilon
    -0.76
    ihad
    -0.76
    alach
    -0.73
    ouk
    -0.69
    cffff
    -0.69
    ¯¯¯¯
    -0.69
    oeuv
    -0.67
    POSITIVE LOGITS
     references
    0.86
    reference
    0.78
     Reference
    0.77
    ibly
    0.72
    ="#
    0.72
     reference
    0.71
    minist
    0.68
    ibility
    0.68
    ogue
    0.66
    PsyNetMessage
    0.66
    Activations Density 0.017%

    No Known Activations