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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. 2-RES-JB
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    Explanations

    mentions of graduate-level education

    oai_token-act-pair · gpt-3.5-turbo

    references to graduate-level education

    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
    eger
    -0.74
    ality
    -0.66
    BOOK
    -0.63
     toget
    -0.62
     Shack
    -0.62
    emet
    -0.62
    eu
    -0.62
    apo
    -0.62
    uncture
    -0.61
     towed
    -0.59
    POSITIVE LOGITS
    uates
    1.20
     graduate
    0.99
     student
    0.89
    uating
    0.85
     undergraduate
    0.84
    uations
    0.84
     graduates
    0.82
     students
    0.82
    uated
    0.81
    ploma
    0.79
    Activations Density 0.007%

    No Known Activations