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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. 8-RES-JB
    11. 24278
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    INDEX
    Explanations

    phrases related to statements or comments made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    direct quotations or paraphrases from individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrinth
    -0.71
    iencies
    -0.70
    pection
    -0.68
    enfranch
    -0.68
    itaire
    -0.68
    Catalog
    -0.68
    illusion
    -0.66
     Skydragon
    -0.66
    ipers
    -0.66
    verages
    -0.66
    POSITIVE LOGITS
     uttered
    1.15
     aloud
    1.10
     remarks
    1.04
     rhet
    1.03
     sarcast
    1.03
     paraph
    0.98
     keynote
    0.96
     speech
    0.94
     Quote
    0.94
     spoken
    0.93
    Activations Density 0.891%

    No Known Activations