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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. 7-RES-JB
    11. 174
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    Explanations

    sentences related to academic publications and research studies

    oai_token-act-pair · gpt-3.5-turbo

    titles of academic works or publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     curtains
    -0.75
     "@
    -0.74
     gunfire
    -0.68
    atsuki
    -0.67
     larg
    -0.67
     blaster
    -0.66
     hairc
    -0.66
    oooooooo
    -0.66
     rink
    -0.65
    azor
    -0.65
    POSITIVE LOGITS
     Supplement
    0.98
     Digest
    0.94
    published
    0.94
     Perspect
    0.92
     Edited
    0.90
     PLoS
    0.90
     reprinted
    0.90
     Retrieved
    0.89
     pdf
    0.89
    pdf
    0.88
    Activations Density 0.280%

    No Known Activations