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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. 3-RES-JB
    11. 12010
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    Explanations

    phrases containing cautionary statements or disclaimers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to warnings and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urgy
    -0.75
    enic
    -0.72
     Tycoon
    -0.70
     Cosponsors
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    ¬
    -0.63
    ivery
    -0.62
    Ļ½
    -0.61
    enium
    -0.60
    rated
    -0.59
    NetMessage
    -0.59
    POSITIVE LOGITS
     caveats
    1.00
     empt
    0.86
     caveat
    0.86
     disclaimer
    0.79
    catentry
    0.77
     guiActiveUn
    0.75
    ño
    0.74
    ptions
    0.73
     clar
    0.73
    notes
    0.73
    Activations Density 0.016%

    No Known Activations