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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. 17496
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    INDEX
    Explanations

    brand names, particularly "Shutterstock"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the stock media company Shutterstock

    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
    gran
    -0.82
    rosse
    -0.81
    etime
    -0.72
    abol
    -0.69
    ded
    -0.69
    ced
    -0.68
    rule
    -0.68
    thro
    -0.68
    chance
    -0.67
    ema
    -0.67
    POSITIVE LOGITS
     Shutterstock
    1.29
    utterstock
    0.99
     Images
    0.85
    allery
    0.84
     srfAttach
    0.77
    imedia
    0.75
     ®
    0.75
    Phot
    0.74
    ython
    0.73
    sburg
    0.73
    Activations Density 0.008%

    No Known Activations