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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. 3-RES-JB
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    Explanations

    reports or studies that have been conducted

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "conducted."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    esa
    -0.71
    edia
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    cube
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    mob
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    iewicz
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    Hom
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    lua
    -0.65
    loaded
    -0.65
    enny
    -0.63
    nick
    -0.62
    POSITIVE LOGITS
    é¾
    0.82
     conducted
    0.77
     interviews
    0.75
    uations
    0.74
     weekday
    0.74
     withd
    0.73
    onduct
    0.73
    Īè
    0.72
    ĸļ
    0.71
    atform
    0.71
    Activations Density 0.020%

    No Known Activations