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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. 12-RES-JB
    11. 3025
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    INDEX
    Explanations

    phrases related to movies and TV shows, including specific scenes and aspects of filming

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to specific scenes or moments from film and television

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ModLoader
    -0.63
    Explore
    -0.62
    framework
    -0.60
    cul
    -0.60
    edIn
    -0.60
    Adds
    -0.59
    ongyang
    -0.58
    HCR
    -0.58
    arers
    -0.57
    Increases
    -0.57
    POSITIVE LOGITS
     where
    1.03
     wherein
    0.97
    where
    0.90
     happened
    0.75
     whereby
    0.74
     circa
    0.74
     when
    0.72
    !:
    0.71
     Where
    0.71
     happening
    0.70
    Activations Density 0.489%

    No Known Activations