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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. 1-RES-JB
    6. 9596
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTOS
    -0.82
     Motor
    -0.66
     Planes
    -0.66
     fasc
    -0.65
     Kre
    -0.63
     Kuh
    -0.63
     sol
    -0.62
     horn
    -0.61
     numerous
    -0.61
     major
    -0.61
    POSITIVE LOGITS
    theless
    1.72
    tenance
    1.13
    terday
    1.13
    erness
    1.08
    DragonMagazine
    1.08
    etheless
    1.03
    ever
    1.01
    quartered
    0.98
    rising
    0.96
    nesses
    0.95
    Activations Density 0.056%

    No Known Activations