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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
    11. 14585
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    Explanations

    specific mentions of individuals graduating from a particular school or program

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "graduated" and its variations

    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
    oran
    -0.73
    BOOK
    -0.69
    emet
    -0.67
    dimension
    -0.66
    WH
    -0.64
    repl
    -0.63
    erness
    -0.63
    pro
    -0.62
    rules
    -0.61
    slow
    -0.61
    POSITIVE LOGITS
    uates
    1.12
    uating
    0.85
    keyes
    0.83
     graduate
    0.82
     graduated
    0.81
     graduates
    0.81
     graduating
    0.81
    uations
    0.80
    Ń·
    0.79
    heit
    0.78
    Activations Density 0.008%

    No Known Activations