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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. 893
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    Explanations

    emoticons and special characters

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific symbol or character string

    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
     Mous
    -0.74
     Jem
    -0.74
     Shap
    -0.66
     Franch
    -0.65
     interf
    -0.61
     deliberately
    -0.61
     ASC
    -0.61
     mainland
    -0.59
     Malaysian
    -0.59
     pastry
    -0.58
    POSITIVE LOGITS
    Ļ
    1.68
    Ŀ
    1.51
    ĸ
    1.33
    ľ
    1.32
    ļ
    1.32
    ĺ
    1.30
    Ķ
    1.28
    ¤
    1.27
    ¡
    1.26
    ª
    1.26
    Activations Density 0.470%

    No Known Activations