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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. 3-RES-JB
    11. 1556
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    Explanations

    technical terms related to turbines

    oai_token-act-pair · gpt-3.5-turbo

    references to turbines and related machinery components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ean
    -0.72
     Barcl
    -0.69
    ãģĨ
    -0.68
    ĨĴ
    -0.67
    ãĤ±
    -0.66
    ordan
    -0.64
     Ops
    -0.64
    ĻĤ
    -0.64
    hist
    -0.63
    sell
    -0.62
    POSITIVE LOGITS
     turbine
    1.14
     blades
    1.08
     turbines
    1.07
     rotor
    1.00
     prope
    0.85
     blade
    0.81
     whine
    0.79
     towers
    0.77
    sonian
    0.75
     farms
    0.75
    Activations Density 0.016%

    No Known Activations