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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. 10-RES-JB
    11. 21790
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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 @ 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
     fasting
    -0.76
     distracting
    -0.75
     servicing
    -0.75
     Madison
    -0.73
     Wilmington
    -0.68
     Rouhani
    -0.68
     unrem
    -0.67
     contention
    -0.66
     unborn
    -0.66
     mainline
    -0.66
    POSITIVE LOGITS
    士
    1.22
    È
    1.15
    ski
    1.12
    и
    1.10
    rh
    1.09
    Äĩ
    1.07
    ÏĦ
    1.07
    а
    1.07
    姫
    1.07
    ÏĤ
    1.03
    Activations Density 0.034%

    No Known Activations