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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. 5969
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    Explanations

    titles of movies and related phrases

    oai_token-act-pair · gpt-3.5-turbo

    titles of popular films and franchises, particularly focusing on "Star Wars" and "The Avengers."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Movie titles especially including a colon

    Explanation Uploaded by User
    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
    abee
    -0.58
    berry
    -0.58
     pigeon
    -0.56
    Kenn
    -0.54
    opian
    -0.54
    enegger
    -0.53
    worldly
    -0.52
     aph
    -0.52
     sweats
    -0.52
    yout
    -0.51
    POSITIVE LOGITS
     Definitive
    0.76
     Collection
    0.75
     Beginning
    0.71
     Forsaken
    0.70
    ãĥ©ãĥ³
    0.70
     Animated
    0.67
     Awakening
    0.65
     Complete
    0.62
     Memories
    0.61
     Ascension
    0.61
    Activations Density 0.066%

    No Known Activations