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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. 6360
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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 @ 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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    No Comments

    Negative Logits
    icum
    -0.94
    etheless
    -0.91
    iped
    -0.84
    alsa
    -0.84
    undai
    -0.84
    atur
    -0.80
    laus
    -0.78
    uly
    -0.78
    ajo
    -0.77
    ows
    -0.77
    POSITIVE LOGITS
    âĢ¢âĢ¢
    1.19
    âĢ¢âĢ¢âĢ¢âĢ¢
    1.09
    ï¸ı
    0.86
     FANTASY
    0.81
    âĸł
    0.77
     âĢ¢
    0.75
     DATA
    0.73
    Publisher
    0.71
     Appears
    0.69
    ½
    0.69
    Activations Density 0.019%

    No Known Activations