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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. 3-RES-JB
    11. 9714
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    Explanations

    scientific or technical terms related to physics or research institutions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the CERN laboratory and its activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kush
    -0.76
     highs
    -0.68
    ————————
    -0.68
    meal
    -0.66
    lua
    -0.64
    othy
    -0.64
    chery
    -0.64
    birds
    -0.63
     Judd
    -0.63
     Og
    -0.62
    POSITIVE LOGITS
    ERN
    1.27
    IFIED
    1.01
     Collider
    0.94
    ère
    0.90
    atural
    0.90
    IFIC
    0.85
    ationally
    0.85
    andom
    0.83
    obyl
    0.83
    ominated
    0.82
    Activations Density 0.008%

    No Known Activations