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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. 0-RES-JB
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    Explanations

    words related to military and law enforcement, specifically the term "trooper."

    oai_token-act-pair · gpt-3.5-turbo

    references to stormtroopers or related characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pixel
    -0.71
     Maine
    -0.67
     Gateway
    -0.66
     2021
    -0.66
     Bacon
    -0.66
     independently
    -0.65
     Mitchell
    -0.64
     Hawaii
    -0.64
     Hex
    -0.64
     Denver
    -0.63
    POSITIVE LOGITS
    tro
    5.09
    Tro
    2.21
     Tro
    1.52
     tro
    1.49
     Trooper
    1.40
     troopers
    1.38
     trooper
    1.34
    atro
    1.19
    toc
    1.14
    tra
    1.08
    Activations Density 0.019%

    No Known Activations