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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. 9-RES-JB
    6. 16858
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Siem
    -0.68
    ¿½
    -0.67
     Kut
    -0.66
    merce
    -0.66
     mosqu
    -0.64
     Fiction
    -0.64
     Amend
    -0.62
     PID
    -0.62
     Cummings
    -0.62
     Pie
    -0.62
    POSITIVE LOGITS
    inals
    1.38
    iologist
    1.31
    igan
    1.27
    igans
    1.26
    iovascular
    1.14
    holder
    1.07
    INAL
    1.03
    iology
    1.01
    ozo
    0.97
    holders
    0.97
    Activations Density 0.050%

    No Known Activations