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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
    11. 2450
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    Explanations

    words related to propulsion or movement

    oai_token-act-pair · gpt-3.5-turbo

    words associated with movement or forceful action

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Lumpur
    -0.63
    displayText
    -0.63
    andro
    -0.62
    osuke
    -0.62
    keeper
    -0.61
     Dealer
    -0.61
    beard
    -0.61
    aylor
    -0.60
    Alice
    -0.57
     NAFTA
    -0.57
    POSITIVE LOGITS
     propelled
    1.12
     propel
    1.02
    pelling
    0.92
    ments
    0.90
    ulic
    0.89
     propulsion
    0.86
    ulsion
    0.86
    pelled
    0.84
     catapult
    0.80
    chairs
    0.80
    Activations Density 0.024%

    No Known Activations