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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. 2-RES-JB
    11. 340
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    Explanations

    technical terms related to machinery and engineering

    oai_token-act-pair · gpt-4-turbo

    terms related to mechanical components and systems, particularly focusing on hydraulic components, propellers, motors, and friction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hydraulic systems and propulsion mechanisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plain
    -0.80
    mallow
    -0.75
    xual
    -0.74
     Plasma
    -0.72
     Mandarin
    -0.72
    esan
    -0.69
     Strawberry
    -0.69
    namese
    -0.69
     Tou
    -0.69
     Meow
    -0.69
    POSITIVE LOGITS
    ulic
    1.05
     fracturing
    0.96
     propelled
    0.95
     motors
    0.93
     propulsion
    0.90
     pedals
    0.84
     piston
    0.83
     actu
    0.83
     propel
    0.81
    ugal
    0.77
    Activations Density 0.042%

    No Known Activations