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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. 8-RES-JB
    11. 522
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    Explanations

    measurements expressed in different units such as seconds, megabytes, yards, centimeters, kilograms, minutes, and meters

    oai_token-act-pair · gpt-3.5-turbo

    units of measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rology
    -0.61
    ways
    -0.60
    venge
    -0.56
     resent
    -0.55
    bred
    -0.54
     Lauder
    -0.53
     Palace
    -0.53
     Hurricanes
    -0.53
    lists
    -0.53
     Halls
    -0.53
    POSITIVE LOGITS
     apiece
    1.31
     increments
    1.16
    bsp
    0.86
     per
    0.84
     teasp
    0.79
     ABV
    0.72
    IDA
    0.71
     increment
    0.69
    interstitial
    0.68
     each
    0.68
    Activations Density 0.251%

    No Known Activations