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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. 4-RES-JB
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to mechanical concepts and technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ning
    -0.75
    chens
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    âĦ¢:
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    emi
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    itia
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    inoa
    -0.74
    ortium
    -0.74
    kers
    -0.74
    say
    -0.73
    unin
    -0.71
    POSITIVE LOGITS
     engineering
    1.03
     ventilation
    1.03
     keyboards
    0.92
     components
    0.90
     mechanical
    0.90
     braking
    0.90
     systems
    0.88
     engineer
    0.88
     actu
    0.88
     glitches
    0.87
    Activations Density 0.008%

    No Known Activations