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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. 1529
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    Explanations

    mentions of the degree or extent of something, often related to difficulty, care, or level of a specific quality

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying levels of something, particularly intensity or quality

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.97
    ãĤ·
    -0.74
    orative
    -0.72
    ãĥ¼ãĥĨãĤ£
    -0.70
     Picks
    -0.69
    nets
    -0.68
    oons
    -0.68
    ÄŁ
    -0.67
    iers
    -0.66
    çİĭ
    -0.65
    POSITIVE LOGITS
     sophistication
    1.15
     maturity
    1.11
     professionalism
    0.95
     confidence
    0.91
     abstraction
    0.91
     accomplishment
    0.90
     significance
    0.89
     urgency
    0.88
     attainment
    0.87
     scrutiny
    0.87
    Activations Density 0.061%

    No Known Activations