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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. 9-RES-JB
    11. 16747
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    Explanations

    technology-related terms or mentions of technological developments and advancements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating change or transformation over time

    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
     2022
    -0.70
     Pigs
    -0.68
     Hands
    -0.67
     Sacrifice
    -0.66
     Consent
    -0.62
     Jaw
    -0.62
     Tycoon
    -0.58
    worst
    -0.57
     Save
    -0.57
    FD
    -0.57
    POSITIVE LOGITS
     gradually
    1.24
     steadily
    1.17
     resur
    1.17
     morphed
    1.15
     progressively
    1.14
     become
    1.14
     became
    1.10
     increasingly
    1.07
     reverted
    1.07
     drifted
    1.03
    Activations Density 0.490%

    No Known Activations