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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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    INDEX
    Explanations

    mentions of the term "freshman"

    oai_token-act-pair · gpt-3.5-turbo

    references to freshman students

    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
     Governments
    -0.79
    markets
    -0.66
    ox
    -0.66
     âĸº
    -0.65
    nex
    -0.64
     link
    -0.63
    oeuv
    -0.62
    shaw
    -0.61
    chains
    -0.61
    к
    -0.61
    POSITIVE LOGITS
     freshman
    3.65
     freshmen
    3.10
     sophomore
    2.92
     junior
    1.87
     rookie
    1.80
     soph
    1.77
     undergrad
    1.50
     undergraduate
    1.43
     rookies
    1.40
    omore
    1.39
    Activations Density 0.011%

    No Known Activations