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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. 1467
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    Explanations

    mentions of specific names and locations

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    idian
    -0.64
    izons
    -0.59
    pora
    -0.55
    kees
    -0.55
    rawdownloadcloneembedreportprint
    -0.55
     dism
    -0.54
    apesh
    -0.53
     Revolutionary
    -0.53
    bians
    -0.52
     frail
    -0.52
    POSITIVE LOGITS
    ividual
    1.17
    ez
    1.09
    ragon
    1.08
    orf
    1.02
    ocument
    1.00
    ele
    0.99
    aniel
    0.97
    erella
    0.94
    icated
    0.93
    ahl
    0.92
    Activations Density 0.048%

    No Known Activations