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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2488
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
    waukee
    -0.71
    heny
    -0.69
    shaw
    -0.67
    tyard
    -0.65
    zona
    -0.65
    esville
    -0.65
     imposition
    -0.65
    inki
    -0.64
    kefeller
    -0.64
    ascus
    -0.62
    POSITIVE LOGITS
    ĸļ
    0.76
    ICLE
    0.74
    Ħ¢
    0.74
     Laure
    0.70
     !
    0.69
    desktop
    0.69
    FG
    0.69
     Cloak
    0.67
    ::::
    0.66
    POL
    0.66
    Activations Density 0.008%

    No Known Activations