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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21146
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    Explanations

    scientific or technical terms, especially related to physics and mechanics

    oai_token-act-pair · gpt-3.5-turbo

    scientific or technical processes and their results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Markets
    -0.89
     commitments
    -0.86
    meet
    -0.84
     Marketplace
    -0.83
    izons
    -0.82
     Organizations
    -0.82
     fellowship
    -0.81
     Citizenship
    -0.81
     Membership
    -0.81
     Agenda
    -0.81
    POSITIVE LOGITS
     braking
    1.11
     adjustable
    1.09
     angled
    1.07
     clipping
    1.07
     thickness
    1.06
     torque
    1.03
     malfunction
    1.02
     technique
    1.02
     deform
    1.02
     vibration
    1.01
    Activations Density 1.204%

    No Known Activations