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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. 10494
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    Explanations

    sequences of numbers formatted in a certain way (e.g., with commas and digits)

    oai_token-act-pair · gpt-3.5-turbo

    numeric data, particularly statistics and figures

    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
     reconc
    -0.71
    actionDate
    -0.70
     Cosponsors
    -0.63
    iaries
    -0.61
    pmwiki
    -0.61
     secondly
    -0.60
     circus
    -0.58
    onym
    -0.58
     anecd
    -0.57
     confir
    -0.57
    POSITIVE LOGITS
    ruff
    0.59
    udd
    0.57
     Canary
    0.56
    udder
    0.56
    ifi
    0.56
    xi
    0.54
    inning
    0.54
    nell
    0.54
    itan
    0.52
    wall
    0.52
    Activations Density 0.218%

    No Known Activations