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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. 2-RES-JB
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    Explanations

    references to universities, specifically highlighting mentions of specific universities and professors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various universities and related academic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lyak
    -0.75
     favour
    -0.72
     favor
    -0.69
    meaning
    -0.66
    bre
    -0.65
    ãĤ©
    -0.64
    worldly
    -0.63
     ts
    -0.62
    eur
    -0.62
     complement
    -0.61
    POSITIVE LOGITS
     Phi
    0.93
     College
    0.86
     Faculty
    0.85
     faculty
    0.82
     University
    0.82
     Univ
    0.79
    edIn
    0.77
    hyde
    0.77
     Libraries
    0.76
     doctoral
    0.76
    Activations Density 0.103%

    No Known Activations