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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. 3-RES-JB
    11. 23923
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    INDEX
    Explanations

    mentions of educational milestones, specifically graduation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "graduated" and its variations, indicating achievements related to education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erness
    -0.74
    BOOK
    -0.71
    ̶
    -0.68
    oran
    -0.64
    apo
    -0.63
    eur
    -0.62
     DRAG
    -0.61
    eye
    -0.60
    dimension
    -0.60
    pro
    -0.60
    POSITIVE LOGITS
    uates
    1.11
    uating
    0.94
    uate
    0.84
    ients
    0.82
    uations
    0.82
    uated
    0.81
    heit
    0.77
     graduate
    0.76
     graduated
    0.75
    keyes
    0.75
    Activations Density 0.010%

    No Known Activations