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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    websites ending with "ore"

    oai_token-act-pair · gpt-3.5-turbo

    the word "ore" across various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    uation
    -0.77
    -+-+
    -0.69
    uate
    -0.68
    urers
    -0.68
    icter
    -0.68
    uating
    -0.68
    uing
    -0.68
    arb
    -0.67
    uations
    -0.66
    ilts
    -0.66
    POSITIVE LOGITS
    tto
    1.36
    byss
    1.17
    tsky
    1.15
    lli
    1.14
    gon
    1.11
    tta
    1.11
    xia
    1.09
    ttes
    1.09
    cki
    1.03
    nz
    1.00
    Activations Density 0.028%

    No Known Activations