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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. 3-RES-JB
    11. 3383
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    Explanations

    mentions of specific symbols and codes, potentially related to gaming or technical instructions

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.72
     bonded
    -0.70
     Franch
    -0.68
     guiActiveUn
    -0.67
     Stoke
    -0.67
     Anat
    -0.67
     Gaal
    -0.66
     privately
    -0.64
     Brun
    -0.63
     Kern
    -0.63
    POSITIVE LOGITS
    ļ
    1.36
    ¿
    1.34
    ¹
    1.28
    ij
    1.28
    ¤
    1.27
    ¼
    1.26
    ©
    1.25
    ¡
    1.24
    Ķ
    1.23
    Ī
    1.23
    Activations Density 0.002%

    No Known Activations