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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. 7797
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    Explanations

    dates expressed in the format "mid-YYYY."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "mid" followed by a numeric range or descriptor

    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
    edIn
    -0.84
     supervised
    -0.63
    士
    -0.62
     badges
    -0.62
     Fields
    -0.61
    éĹĺ
    -0.60
     Benef
    -0.60
     Bett
    -0.60
    naires
    -0.60
     disabilities
    -0.60
    POSITIVE LOGITS
    terms
    1.14
    section
    1.06
    season
    1.06
    -'
    1.04
    century
    1.03
    iors
    1.02
    west
    1.01
    sections
    1.00
    western
    0.96
    wives
    0.96
    Activations Density 0.017%

    No Known Activations