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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. 5026
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    Explanations

    comments sections in text data

    oai_token-act-pair · gpt-3.5-turbo

    references to audience engagement through comments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.72
    unta
    -0.70
     Illum
    -0.67
     surgeons
    -0.65
    uin
    -0.64
    naissance
    -0.63
    olid
    -0.62
    ouf
    -0.62
    exec
    -0.60
    worth
    -0.59
    POSITIVE LOGITS
     comments
    1.35
     Comments
    1.23
     comment
    1.09
     forums
    1.07
     Feedback
    1.03
    comments
    1.02
     Comment
    1.00
     commenting
    0.97
     Forums
    0.94
     forum
    0.93
    Activations Density 0.071%

    No Known Activations