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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. 3-RES-JB
    11. 4938
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    Explanations

    references to particular scenes in movies or TV shows

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scenes in movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icrobial
    -0.89
    undai
    -0.81
    achev
    -0.81
    berman
    -0.80
    uyomi
    -0.79
    iago
    -0.79
    sburgh
    -0.76
    oug
    -0.76
    heit
    -0.75
    milo
    -0.73
    POSITIVE LOGITS
     Scene
    1.03
     Scenes
    0.99
    Dialogue
    0.97
     scenes
    0.95
    scene
    0.89
     scene
    0.86
     Veter
    0.81
    Capture
    0.81
    Quote
    0.79
     VIDE
    0.74
    Activations Density 0.015%

    No Known Activations