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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. 12-RES-JB
    11. 5051
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    mentions of Fort McMurray

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     alphabet
    -0.71
     functioning
    -0.64
     working
    -0.63
     starters
    -0.63
     disproportionately
    -0.62
     Navajo
    -0.62
     SD
    -0.61
     Bengal
    -0.61
     racially
    -0.60
     WP
    -0.60
    POSITIVE LOGITS
    ur
    1.32
    ull
    1.26
    illon
    1.25
    ansion
    1.24
    illin
    1.22
    urry
    1.21
    urt
    1.16
    ourning
    1.14
    urd
    1.11
    ill
    1.09
    Activations Density 0.033%

    No Known Activations