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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. 3294
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating urgency or the need for action

    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
    ById
    -0.69
    utsu
    -0.65
    riad
    -0.65
    xtap
    -0.65
    uthor
    -0.64
    obook
    -0.62
    uke
    -0.62
    hent
    -0.62
    ournal
    -0.61
     Pastebin
    -0.61
    POSITIVE LOGITS
     to
    0.94
     for
    0.78
     consuming
    0.70
     overdue
    0.69
     TO
    0.68
    llor
    0.64
     enough
    0.62
     we
    0.60
     anew
    0.60
     again
    0.60
    Activations Density 0.029%

    No Known Activations