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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. 9-RES-JB
    11. 13409
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    Explanations

    links or references to additional information sources

    oai_token-act-pair · gpt-3.5-turbo

    references to media or downloadable content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.72
     intermedi
    -0.70
     appar
    -0.65
     disembark
    -0.64
    ÏĢ
    -0.63
     retard
    -0.63
    itiz
    -0.63
     bottleneck
    -0.62
     decimal
    -0.61
     acquaintance
    -0.61
    POSITIVE LOGITS
     Highlights
    1.01
     Transcript
    0.92
     Tickets
    0.87
     HuffPost
    0.86
     Recap
    0.79
    htaking
    0.79
     Coverage
    0.77
    Alert
    0.77
     Updates
    0.77
     Photos
    0.77
    Activations Density 0.107%

    No Known Activations