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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. 12875
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    INDEX
    Explanations

    terms related to action, adventure, combat, and physical intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to action-oriented themes in media

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Label
    -0.89
    aspberry
    -0.73
    ebook
    -0.71
    ername
    -0.70
    angered
    -0.69
     Marketable
    -0.69
    agall
    -0.69
     Username
    -0.68
     privately
    -0.68
     Tradable
    -0.68
    POSITIVE LOGITS
     mayhem
    1.37
     sequences
    1.30
     thriller
    1.26
     gameplay
    1.23
     scenes
    1.20
     carnage
    1.14
     adventure
    1.14
    fights
    1.13
     suspense
    1.13
     thrill
    1.11
    Activations Density 0.303%

    No Known Activations