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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. 6929
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    Explanations

    numbers and dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ok"

    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
    bugs
    -0.69
     lav
    -0.63
     missionaries
    -0.61
    natureconservancy
    -0.60
    WHERE
    -0.59
    oire
    -0.59
     Tempest
    -0.58
     Veil
    -0.58
     istg
    -0.57
    ORGE
    -0.57
    POSITIVE LOGITS
    lahoma
    1.11
    unin
    1.04
    ettle
    1.00
    nown
    0.99
    awaru
    0.99
    aido
    0.96
    lass
    0.95
    hov
    0.93
    ulkan
    0.90
    owsky
    0.90
    Activations Density 0.030%

    No Known Activations