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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. 3334
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    Explanations

    proper nouns or names associated with people or entities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tweeted."

    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
    cum
    -0.66
    istries
    -0.64
    cised
    -0.63
    zik
    -0.63
    bred
    -0.61
    circ
    -0.61
     immersion
    -0.61
     Reborn
    -0.61
    vernment
    -0.61
    arist
    -0.60
    POSITIVE LOGITS
    storms
    0.91
    URL
    0.89
     hasht
    0.87
     tweets
    0.87
     "@
    0.87
     hashtag
    0.84
     Tweet
    0.82
    Tweet
    0.81
    realDonaldTrump
    0.81
    weet
    0.80
    Activations Density 0.015%

    No Known Activations