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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

    the phrase "Tea Party"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Tea Party movement

    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
    intern
    -0.71
     RL
    -0.67
     compensate
    -0.65
     kilometres
    -0.65
    atell
    -0.63
     modifier
    -0.62
     stub
    -0.62
    determination
    -0.62
    atern
    -0.61
    jab
    -0.61
    POSITIVE LOGITS
     Tea
    3.89
    Tea
    3.24
     tea
    2.10
     Occupy
    1.26
     Coffee
    1.21
     Boehner
    1.07
     Cato
    1.06
     Pirate
    1.06
    Republican
    1.03
     Tobacco
    1.02
    Activations Density 0.007%

    No Known Activations