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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. 6-RES-JB
    11. 22938
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names related to individuals, brands, and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     glut
    -0.66
     unse
    -0.63
     TPP
    -0.62
     Dw
    -0.61
    gow
    -0.59
     explosive
    -0.59
     fracturing
    -0.57
     leve
    -0.57
     Dropbox
    -0.57
     Graham
    -0.57
    POSITIVE LOGITS
    owship
    0.70
    irs
    0.67
    workers
    0.65
     pige
    0.65
    ila
    0.64
    Raven
    0.62
    MpServer
    0.61
    ollo
    0.59
    ILA
    0.58
    yrs
    0.57
    Activations Density 0.877%

    No Known Activations