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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. 10-RES-JB
    11. 5929
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    Explanations

    the word "ok" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the word "ok" in various contexts and forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bugs
    -0.65
     lav
    -0.65
     Tempest
    -0.65
    natureconservancy
    -0.62
     textbooks
    -0.62
     missionaries
    -0.61
    ordinary
    -0.60
    WHERE
    -0.59
     Veil
    -0.57
     cort
    -0.56
    POSITIVE LOGITS
    lahoma
    1.18
    unin
    1.14
    awaru
    1.07
    lass
    1.06
    ettle
    1.05
    hov
    1.04
    nown
    1.03
    ernel
    0.98
    htar
    0.97
    ulkan
    0.94
    Activations Density 0.026%

    No Known Activations