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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. 11-RES-JB
    11. 6120
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    Explanations

    terms related to document management or references to documents

    oai_token-act-pair · gpt-3.5-turbo

    references to documents or documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.79
    cffffcc
    -0.73
    cffff
    -0.69
    bye
    -0.67
    creen
    -0.66
    Voice
    -0.66
    Interstitial
    -0.64
     Vill
    -0.63
    Stars
    -0.62
    ourge
    -0.61
    POSITIVE LOGITS
    arians
    1.34
    arian
    1.32
    uments
    1.05
    ually
    0.99
    aries
    0.98
     outlining
    0.93
    alogy
    0.92
    arist
    0.87
     detailing
    0.87
    ional
    0.87
    Activations Density 0.051%

    No Known Activations