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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. 6888
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    INDEX
    Explanations

    names or references to sports figures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals and locations

    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
    izoph
    -0.73
     Wendy
    -0.73
     Citiz
    -0.72
    actionDate
    -0.71
    Government
    -0.69
    Issue
    -0.67
     Confederacy
    -0.66
    Eva
    -0.65
    ablishment
    -0.64
    Public
    -0.63
    POSITIVE LOGITS
     averaged
    1.29
     underwent
    1.26
     scored
    1.24
     missed
    1.17
     coached
    1.17
     struggled
    1.12
     finished
    1.09
     texted
    1.07
     tore
    1.07
     played
    1.07
    Activations Density 0.217%

    No Known Activations