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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. 5166
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    Explanations

    situations where individuals are having conversations or meetings

    oai_token-act-pair · gpt-3.5-turbo

    instances of sitting down for discussions or interviews

    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
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    No Comments

    Negative Logits
    umph
    -0.66
    achev
    -0.59
    yson
    -0.58
    wcs
    -0.58
    emet
    -0.58
    fulness
    -0.57
    adoes
    -0.56
     understatement
    -0.55
    added
    -0.55
     Canaveral
    -0.54
    POSITIVE LOGITS
     toget
    0.79
     seiz
    0.78
     beside
    0.77
    stairs
    0.73
     comfortably
    0.73
     relax
    0.71
     with
    0.69
     politely
    0.64
    epad
    0.64
     withd
    0.63
    Activations Density 0.066%

    No Known Activations