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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. 6-RES-JB
    6. 20196
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     gears
    -0.67
    wagen
    -0.66
    ¬¼
    -0.66
    taboola
    -0.63
     pancakes
    -0.61
     sidewalks
    -0.60
    ibaba
    -0.60
     intersections
    -0.60
     unchecked
    -0.59
    ĨĴ
    -0.59
    POSITIVE LOGITS
    aline
    0.76
    ause
    0.75
    minus
    0.72
     Ake
    0.70
    oli
    0.68
    anamo
    0.67
     Samar
    0.67
    ucl
    0.65
    lie
    0.65
    bia
    0.65
    Activations Density 0.100%

    No Known Activations