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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. 5-RES-JB
    6. 22270
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    Explanations

    years or dates

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     stead
    -0.78
    hed
    -0.75
    kell
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    lass
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    aws
    -0.65
    orney
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    aden
    -0.64
    bor
    -0.63
    armed
    -0.62
    ambers
    -0.62
    POSITIVE LOGITS
    å¹
    1.26
     edition
    0.81
     Edition
    0.80
    20439
    0.79
    â̲
    0.75
     EDITION
    0.74
     onwards
    0.70
    âĨij
    0.70
     Remastered
    0.68
     Nobel
    0.67
    Activations Density 0.122%

    No Known Activations