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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. 5775
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    Explanations

    actions related to the filmmaking process, such as shooting, editing, rewriting, and collaborating

    oai_token-act-pair · gpt-3.5-turbo

    references to teamwork and collaboration in creative processes

    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
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    Negative Logits
    olitics
    -0.85
    rencies
    -0.84
    overe
    -0.84
    Merit
    -0.82
     deterrence
    -0.81
    ¬¼
    -0.81
    mopolitan
    -0.80
    ndum
    -0.77
    uyomi
    -0.75
    ibaba
    -0.73
    POSITIVE LOGITS
     studio
    1.37
     editing
    1.29
     screenplay
    1.27
     Studio
    1.25
     scripting
    1.24
     Kubrick
    1.23
     Whedon
    1.22
     Spielberg
    1.21
    Production
    1.20
    Studio
    1.19
    Activations Density 0.946%

    No Known Activations