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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. 24095
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    INDEX
    Explanations

    references to statistics or numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    the use of the word "the" in statistical or quantitative contexts

    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
    udic
    -0.73
    cules
    -0.71
    perse
    -0.67
    usalem
    -0.66
    rib
    -0.64
    haps
    -0.64
    Ò
    -0.62
    bourg
    -0.62
    sonian
    -0.62
    phal
    -0.62
    POSITIVE LOGITS
     average
    1.50
     median
    1.49
     percentage
    1.42
     largest
    1.26
     ratio
    1.26
     number
    1.23
     lowest
    1.22
     disparity
    1.21
    oret
    1.20
     cumulative
    1.19
    Activations Density 0.442%

    No Known Activations