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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. 7268
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    symbols and punctuation used in lists or references to sequenced items

    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
     brut
    -0.68
     corrid
    -0.62
    olk
    -0.61
    ogo
    -0.60
     levers
    -0.60
     strengths
    -0.59
    ´
    -0.58
    baugh
    -0.58
     precaution
    -0.56
     1921
    -0.56
    POSITIVE LOGITS
    4
    1.36
     4
    1.18
    Fourth
    1.17
     fourth
    1.00
    fourth
    0.98
     Fourth
    0.95
    four
    0.93
    04
    0.89
     IV
    0.85
     04
    0.81
    Activations Density 0.105%

    No Known Activations