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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. 1563
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    Explanations

    spoken numbers in the format of "number" plus "percent"

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and quantitative comparisons

    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
     inform
    -0.56
     pat
    -0.54
    natureconservancy
    -0.54
     WARN
    -0.52
     FORM
    -0.48
     proced
    -0.48
     senses
    -0.47
     myst
    -0.47
     emotion
    -0.45
     delic
    -0.45
    POSITIVE LOGITS
     respectively
    0.85
     etc
    0.76
    ))))
    0.72
    itto
    0.67
    etc
    0.66
    rador
    0.65
    aukee
    0.64
     Jr
    0.62
    BSD
    0.60
    uez
    0.60
    Activations Density 0.396%

    No Known Activations