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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22748
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    Explanations

    words related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    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
    Not in Any Lists

    No Comments

    Negative Logits
    REE
    -0.78
    ï¸ı
    -0.70
    hovah
    -0.67
    sburgh
    -0.67
    ignty
    -0.66
     Thumbnails
    -0.66
    IGH
    -0.66
     Chaser
    -0.63
    respect
    -0.62
    ï¸
    -0.61
    POSITIVE LOGITS
    ovic
    1.29
    owitz
    1.10
    ovi
    1.09
    agement
    1.02
    ovich
    1.00
    ufact
    0.94
    ovsky
    0.93
    owski
    0.92
    thal
    0.92
    ews
    0.90
    Activations Density 0.046%

    No Known Activations