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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. 7058
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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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    Negative Logits
    erella
    -0.71
    amer
    -0.69
    opez
    -0.69
    say
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    osate
    -0.68
     horm
    -0.67
    hov
    -0.66
    sle
    -0.66
    eyes
    -0.64
     Nas
    -0.64
    POSITIVE LOGITS
    iture
    1.10
    itures
    1.01
     purchases
    0.95
    ment
    0.89
    ments
    0.87
    Purchase
    0.84
    MENT
    0.83
    MENTS
    0.78
     purchasing
    0.77
     purchase
    0.77
    Activations Density 0.024%

    No Known Activations