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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. 6-RES-JB
    6. 2284
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    Explanations

    references to the company GE

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company GE (General Electric)

    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
    ãĤ±
    -0.86
    ties
    -0.78
    ifier
    -0.76
    ities
    -0.74
    ãĥ£
    -0.74
    itarian
    -0.73
    hips
    -0.73
    shake
    -0.72
    ãĤ§
    -0.72
    iak
    -0.71
    POSITIVE LOGITS
    ORGE
    1.35
    ICO
    0.75
    vity
    0.74
     Healthcare
    0.73
     Stephens
    0.71
    ECH
    0.68
    ARY
    0.67
     PowerPoint
    0.67
    utenant
    0.67
     Tigers
    0.67
    Activations Density 0.038%

    No Known Activations