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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. 1-RES-JB
    11. 5180
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    Explanations

    numerical quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Frontier
    -0.70
    ··
    -0.68
     motto
    -0.66
    hall
    -0.66
     seat
    -0.64
     Mirage
    -0.62
     Mansion
    -0.61
     Fram
    -0.61
    Blade
    -0.61
    pid
    -0.61
    POSITIVE LOGITS
     amounts
    1.45
     amount
    1.05
     quantities
    1.04
     amounted
    1.00
    icult
    0.99
    ngth
    0.99
    amount
    0.98
    umes
    0.90
    ĸļ
    0.88
     sums
    0.86
    Activations Density 0.010%

    No Known Activations