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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. 1-RES-JB
    11. 22142
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    Explanations

    keywords related to marketing promotions

    oai_token-act-pair · gpt-3.5-turbo

    references to regularity or frequency of occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Recomm
    -0.94
    CDC
    -0.82
    lain
    -0.77
    åĤ
    -0.76
    Reviewed
    -0.74
    Sov
    -0.73
    went
    -0.71
    mberg
    -0.69
    zh
    -0.68
    iants
    -0.68
    POSITIVE LOGITS
     occasional
    1.28
     bouts
    0.97
     occas
    0.93
     stray
    0.91
     periodic
    0.90
     glimps
    0.90
     newcom
    0.88
     rains
    0.87
     intermittent
    0.82
     sporadic
    0.81
    Activations Density 0.007%

    No Known Activations