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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. 8640
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
     CFL
    -0.68
    versions
    -0.67
    interstitial
    -0.60
    ml
    -0.59
     toler
    -0.58
     grading
    -0.58
     Kodi
    -0.58
    PHOTOS
    -0.55
    LEASE
    -0.53
     Oriental
    -0.52
    POSITIVE LOGITS
    ONSORED
    0.73
    inka
    0.69
    sic
    0.65
    Narr
    0.62
    ijn
    0.60
     (@
    0.60
    Ô
    0.59
     proverb
    0.59
    ãĥĹ
    0.58
     bi
    0.58
    Activations Density 0.229%

    No Known Activations