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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. 1-RES-JB
    11. 3935
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    Explanations

    round objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "round"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uras
    -0.69
    yer
    -0.69
    acca
    -0.67
    alez
    -0.67
    enez
    -0.67
     mathemat
    -0.66
    "},"
    -0.66
    ORY
    -0.64
    ionage
    -0.62
    rogens
    -0.61
    POSITIVE LOGITS
    abouts
    0.91
     round
    0.89
    about
    0.86
    trip
    0.85
    table
    0.84
     Round
    0.83
    dule
    0.81
    Round
    0.79
    worms
    0.75
    robe
    0.75
    Activations Density 0.013%

    No Known Activations