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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. 18489
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    Explanations

    technical terms related to turbines and their components

    oai_token-act-pair · gpt-3.5-turbo

    terms related to turbines and their components

    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
    ean
    -0.88
     Territories
    -0.76
    ĨĴ
    -0.75
    ãĤ±
    -0.74
    ãģĨ
    -0.73
    gdala
    -0.72
     Paraly
    -0.69
    eker
    -0.69
     Antiqu
    -0.68
     Scholar
    -0.67
    POSITIVE LOGITS
     blades
    1.14
     rotor
    1.14
     turbine
    1.08
     turbines
    0.95
     prope
    0.90
     blade
    0.86
     spinning
    0.84
     whine
    0.84
     centrif
    0.83
     speeds
    0.80
    Activations Density 0.052%

    No Known Activations