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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. 11-RES-JB
    6. 2981
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.84
    bol
    -0.78
    icum
    -0.78
    DERR
    -0.71
    amination
    -0.69
    uchi
    -0.69
    amar
    -0.67
    pty
    -0.66
    ¬¼
    -0.66
    £ı
    -0.64
    POSITIVE LOGITS
    ottest
    1.15
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    1.08
     safest
    1.05
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    1.04
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    1.04
     Top
    1.01
    Top
    0.99
     Highest
    0.99
     coolest
    0.97
     Greatest
    0.96
    Activations Density 0.260%

    No Known Activations