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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. 5-RES-JB
    6. 2564
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    Explanations

    references to locations within Washington D.C

    oai_token-act-pair · gpt-3.5-turbo

    references to Washington D.C

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bulg
    -0.82
     Ambro
    -0.71
     conversions
    -0.70
     Canaver
    -0.68
    terday
    -0.66
     Aph
    -0.66
     Penguin
    -0.66
     Boko
    -0.65
     Zoro
    -0.65
    cules
    -0.65
    POSITIVE LOGITS
    isco
    1.22
    etermination
    1.06
    etermined
    1.02
    etermin
    1.01
    olph
    0.99
    uh
    0.99
    enton
    0.99
    immer
    0.98
    edu
    0.97
    aug
    0.97
    Activations Density 0.015%

    No Known Activations