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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. 11-RES-JB
    11. 12902
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    Explanations

    numerals structured as monetary values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and percentages in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    iates
    -0.73
     nodd
    -0.69
    iating
    -0.68
     weaving
    -0.66
     satell
    -0.62
    iations
    -0.62
    dayName
    -0.61
    ufact
    -0.60
     mole
    -0.60
    iate
    -0.59
    POSITIVE LOGITS
    08
    1.62
    06
    1.61
    03
    1.60
    04
    1.59
    07
    1.58
    02
    1.57
    057
    1.30
    090
    1.26
    58
    1.26
    59
    1.25
    Activations Density 0.043%

    No Known Activations