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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. 11-RES-JB
    11. 725
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    Explanations

    mentions of famous filmmakers and their works, especially related to classic movies and upcoming projects

    oai_token-act-pair · gpt-3.5-turbo

    references to notable films and filmmakers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
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    POSITIVE LOGITS
     Interstellar
    1.20
     films
    1.18
     film
    1.18
    director
    1.16
     screenplay
    1.13
     filmmaker
    1.08
     thriller
    1.07
     Ridley
    1.06
     remake
    1.05
     Spielberg
    1.04
    Activations Density 0.383%

    No Known Activations