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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. 4-RES-JB
    11. 2297
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    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ......
    -0.71
    assetsadobe
    -0.69
     âĢº
    -0.68
    ::::::::
    -0.67
    hement
    -0.64
    ãģ¯
    -0.63
    ãĥ£
    -0.62
     partName
    -0.61
    mble
    -0.61
     Voc
    -0.60
    POSITIVE LOGITS
     Moroc
    0.71
     Gaul
    0.66
    yang
    0.64
    aney
    0.64
    landish
    0.63
    addafi
    0.62
    yden
    0.61
    idine
    0.60
    istani
    0.60
    obo
    0.59
    Activations Density 0.540%

    No Known Activations