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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. 7-RES-JB
    11. 5087
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    Explanations

    phrases indicating setting out to do something or embark on a mission

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intent or purpose related to projects or endeavors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eries
    -0.67
    outer
    -0.64
     wrap
    -0.62
    ery
    -0.61
     reopened
    -0.61
     stabilized
    -0.58
    pick
    -0.57
    uppet
    -0.57
     botched
    -0.57
     upkeep
    -0.56
    POSITIVE LOGITS
    sonian
    0.84
    fitted
    0.82
    posts
    0.78
    AAF
    0.77
    20439
    0.72
    tical
    0.68
    llor
    0.68
    RAG
    0.67
    rane
    0.67
     anew
    0.67
    Activations Density 0.034%

    No Known Activations