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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. 9-RES-JB
    11. 5485
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    Explanations

    words related to movies, TV shows, and video games

    oai_token-act-pair · gpt-3.5-turbo

    titles of media content (such as movies or games)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jri
    -0.84
     tremend
    -0.79
    etooth
    -0.79
    uggest
    -0.75
    rie
    -0.72
     retire
    -0.71
     advertis
    -0.71
    yout
    -0.69
    inarily
    -0.69
     gif
    -0.68
    POSITIVE LOGITS
     Remastered
    1.00
     Rebirth
    0.99
     Reborn
    0.96
     Resurrection
    0.96
     Origins
    0.95
     Become
    0.95
     Siege
    0.94
     Battle
    0.92
     Vengeance
    0.91
     Shattered
    0.91
    Activations Density 0.050%

    No Known Activations