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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. 10-RES-JB
    6. 14898
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    Explanations

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.84
    ĸļ
    -0.77
    Ĥİ
    -0.73
    ļéĨĴ
    -0.72
    ĨĴ
    -0.71
    Ͻ
    -0.70
    ¬¼
    -0.67
    cale
    -0.66
    hower
    -0.66
    oward
    -0.65
    POSITIVE LOGITS
     libraries
    0.99
     including
    0.97
     magazines
    0.95
     journals
    0.94
     powd
    0.93
    drivers
    0.93
     sauces
    0.92
     bridges
    0.90
     wallets
    0.90
     factories
    0.90
    Activations Density 0.282%

    No Known Activations