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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. 10-RES-JB
    11. 8170
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    Explanations

    proper names, particularly names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    merce
    -0.73
    ongyang
    -0.65
     Admir
    -0.61
     commissions
    -0.57
    MAR
    -0.57
    Registered
    -0.56
    NESS
    -0.55
     Mahjong
    -0.55
    ModLoader
    -0.55
     Clyde
    -0.55
    POSITIVE LOGITS
    ãĤ¡
    0.69
    essler
    0.66
    umeric
    0.64
    elman
    0.64
    aghd
    0.63
    ucc
    0.61
    rane
    0.61
    gar
    0.57
     germ
    0.57
    aed
    0.56
    Activations Density 0.139%

    No Known Activations