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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. 10-RES-JB
    11. 1411
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    Explanations

    keywords related to particles, specifically particle physics

    oai_token-act-pair · gpt-3.5-turbo

    references to particles in physics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.76
    itual
    -0.73
    ashington
    -0.72
    HCR
    -0.72
    itude
    -0.72
    mberg
    -0.70
    phia
    -0.69
    ilitation
    -0.68
    qus
    -0.66
    mingham
    -0.65
    POSITIVE LOGITS
     physicists
    1.16
     accelerator
    1.11
     particles
    1.04
     physicist
    0.99
     particle
    0.99
     emitted
    0.89
     acceler
    0.87
     physics
    0.87
     Collider
    0.81
    oidal
    0.78
    Activations Density 0.043%

    No Known Activations