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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. 8-RES-JB
    11. 8452
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    Explanations

    proper nouns or specific entities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific named entities

    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
    âĢ¢âĢ¢
    -0.64
    ĸļ
    -0.62
    }.
    -0.59
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.59
     beforehand
    -0.56
     thereto
    -0.56
    EStream
    -0.56
    }"
    -0.55
     thereof
    -0.55
    Ïī
    -0.54
    POSITIVE LOGITS
    ifax
    0.78
    quartered
    0.66
    resa
    0.64
    osate
    0.63
    roximately
    0.62
    Net
    0.62
    unte
    0.62
    orm
    0.61
    ston
    0.61
    oters
    0.61
    Activations Density 0.602%

    No Known Activations