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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. 8-RES-JB
    6. 22125
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    Explanations

    languages and language-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to languages and multilingual topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.78
    apor
    -0.76
    romeda
    -0.75
    ramid
    -0.75
    arranted
    -0.74
    Reward
    -0.73
    apego
    -0.73
     horm
    -0.72
    oppable
    -0.71
    rolet
    -0.71
    POSITIVE LOGITS
     languages
    1.60
     language
    1.53
    language
    1.49
     diction
    1.49
     english
    1.41
     Arabic
    1.39
     English
    1.37
    english
    1.34
    English
    1.34
     Hindi
    1.33
    Activations Density 0.665%

    No Known Activations