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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. 9878
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific symbols or characters in the text

    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
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    Negative Logits
     hemor
    -0.66
     glac
    -0.65
     shroud
    -0.64
     transported
    -0.63
     board
    -0.63
     Borough
    -0.62
     range
    -0.61
     semblance
    -0.60
     Manhattan
    -0.60
     Dresden
    -0.60
    POSITIVE LOGITS
    ª
    1.33
    ¹
    1.30
    ³
    1.22
    ı
    1.22
    ł
    1.21
    ¦
    1.15
    «
    1.15
    ¾
    1.11
    ¸
    1.11
    ©
    1.10
    Activations Density 0.075%

    No Known Activations