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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. 12271
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to various sectors of economic development and industry

    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
    dden
    -0.70
    iple
    -0.69
    umn
    -0.67
    ãĤĵ
    -0.65
    jured
    -0.65
    iless
    -0.63
    isen
    -0.62
    ¬¼
    -0.61
    icol
    -0.61
    eteen
    -0.61
    POSITIVE LOGITS
     namely
    0.99
     particularly
    0.98
     especially
    0.95
    particularly
    0.91
     whereby
    0.91
     including
    0.89
     which
    0.89
     wherein
    0.88
    especially
    0.86
     aka
    0.85
    Activations Density 0.410%

    No Known Activations