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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. 7-RES-JB
    11. 11400
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    Explanations

    references to specific years or seasons

    oai_token-act-pair · gpt-3.5-turbo

    terms related to seasons and elections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     heartbeat
    -0.73
     conscience
    -0.68
    entimes
    -0.67
     recent
    -0.62
    ksh
    -0.61
    ricular
    -0.59
     ancest
    -0.59
     fec
    -0.57
    emia
    -0.56
    vec
    -0.56
    POSITIVE LOGITS
    bernatorial
    0.90
     onwards
    0.74
    Reviewer
    0.68
    enger
    0.67
     opener
    0.66
    ,[
    0.65
    isode
    0.62
    when
    0.62
    iots
    0.61
     Ezra
    0.61
    Activations Density 0.176%

    No Known Activations