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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. 1151
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    Explanations

    phrases related to unique ASCII characters and symbols

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    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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    Negative Logits
     shack
    -0.75
     scatter
    -0.71
     Babel
    -0.66
     bye
    -0.66
     Borders
    -0.65
     prejudice
    -0.65
     Belg
    -0.64
     obfusc
    -0.64
     multiplying
    -0.63
     OB
    -0.63
    POSITIVE LOGITS
    ı
    1.36
    Ń
    1.28
    £
    1.21
    ¬
    1.19
    ²
    1.17
    º
    1.16
    Ĵ
    1.13
    ¹
    1.13
    Ĭ
    1.09
    İ
    1.08
    Activations Density 0.219%

    No Known Activations