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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. 6-RES-JB
    11. 10917
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    Explanations

    names, particularly those possibly related to legal or political contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places associated with individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ
    -0.69
    ury
    -0.68
    uras
    -0.68
     suspic
    -0.65
     livest
    -0.64
    pecially
    -0.64
    sis
    -0.64
    hog
    -0.63
    uran
    -0.62
    eki
    -0.62
    POSITIVE LOGITS
    ãĥ£
    0.81
    edia
    0.75
    ãĤ§
    0.71
    ãĥ´ãĤ¡
    0.71
     Heights
    0.71
    ++++++++++++++++
    0.71
    ãĥ¥
    0.70
    ctic
    0.69
    inian
    0.69
    rawdownloadcloneembedreportprint
    0.69
    Activations Density 0.077%

    No Known Activations