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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. 18897
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    Explanations

    dates in the format of month and year

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and months

    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
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    Negative Logits
    etheless
    -0.62
    DragonMagazine
    -0.54
    é¾įåĸļ士
    -0.48
    ¥ŀ
    -0.47
    ©¶æ
    -0.46
     Sasuke
    -0.45
    ãĥ¬
    -0.44
    ãĥĨ
    -0.44
    ¶
    -0.43
    ãĥij
    -0.43
    POSITIVE LOGITS
    anooga
    0.43
    ]=
    0.41
    itent
    0.40
    yang
    0.39
     rook
    0.37
    ascar
    0.37
    yles
    0.36
    }"
    0.36
    ife
    0.36
     entit
    0.35
    Activations Density 3.212%

    No Known Activations