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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of shooting or being shot

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shot" in various contexts related to firearms or injuries

    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
    doms
    -0.82
     Corpus
    -0.74
    mith
    -0.74
     Vendor
    -0.68
    eeds
    -0.66
     Transactions
    -0.65
    mong
    -0.65
     AFC
    -0.64
    ebook
    -0.64
    ring
    -0.63
    POSITIVE LOGITS
     shot
    3.85
     shots
    2.66
     Shot
    2.62
    shot
    2.57
    Shot
    2.24
    shots
    2.20
     Shots
    2.08
     shoot
    2.01
     shoots
    1.90
     gunned
    1.79
    Activations Density 0.019%

    No Known Activations