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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. 7-RES-JB
    11. 5361
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    Explanations

    references to numerical data points in a particular format

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or values commonly associated with lists or references in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oyd
    -0.85
    atem
    -0.85
    ogue
    -0.74
    ation
    -0.70
    ãĤ¡
    -0.68
     Beckham
    -0.67
    igating
    -0.67
    omial
    -0.67
    atives
    -0.66
    nih
    -0.66
    POSITIVE LOGITS
    teenth
    0.93
    393
    0.92
    08
    0.89
    06
    0.89
    th
    0.88
    07
    0.86
    09
    0.85
    92
    0.84
    03
    0.84
    05
    0.84
    Activations Density 0.038%

    No Known Activations