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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. 10-RES-JB
    11. 10157
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    INDEX
    Explanations

    mentions of measurement units such as 'g' and 'cm'

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Polk
    -0.71
     Salman
    -0.70
     Virgin
    -0.68
     Roose
    -0.66
     Salon
    -0.65
     Antar
    -0.65
     Muss
    -0.63
     Jihad
    -0.62
     Barbara
    -0.62
     democracy
    -0.61
    POSITIVE LOGITS
    felt
    1.15
    s
    1.12
    shed
    1.05
    ses
    1.05
    sed
    1.05
    won
    1.03
    sure
    1.01
    should
    0.97
    ved
    0.95
    erent
    0.95
    Activations Density 0.279%

    No Known Activations