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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 11400
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BY
    -0.87
    RAL
    -0.64
    Newsletter
    -0.62
     Drama
    -0.62
    rouch
    -0.61
     Doe
    -0.60
    Bear
    -0.60
     Personnel
    -0.60
    ELL
    -0.59
    áµ
    -0.58
    POSITIVE LOGITS
    isher
    1.01
     fin
    1.01
    ishers
    0.97
    ework
    0.89
    estone
    0.85
    etime
    0.84
    ned
    0.84
    itely
    0.83
    ial
    0.83
    amental
    0.83
    Activations Density 0.007%

    No Known Activations