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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. 2-RES-JB
    11. 798
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    Explanations

    the string "Gro" at the start of a word

    oai_token-act-pair · gpt-4-turbo

    mentions of the word "Gro"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Gro" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    manship
    -0.70
     Hurricanes
    -0.69
     CPC
    -0.67
     PowerPoint
    -0.66
     Leilan
    -0.64
    uyomi
    -0.63
     christ
    -0.63
     FAA
    -0.63
     EDITION
    -0.62
    ACA
    -0.60
    POSITIVE LOGITS
    ovy
    1.18
    tesque
    1.09
    cery
    1.06
    ove
    1.02
    hett
    0.93
    ggy
    0.91
    azy
    0.91
     Gro
    0.91
    lean
    0.88
    bie
    0.86
    Activations Density 0.004%

    No Known Activations