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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. 7-RES-JB
    11. 13667
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    INDEX
    Explanations

    mentions of the Getty Images' photo library

    oai_token-act-pair · gpt-3.5-turbo

    references to Getty Images in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     timely
    -0.72
     sediment
    -0.68
     chilling
    -0.67
     vain
    -0.64
    semble
    -0.63
    ecause
    -0.63
    stood
    -0.62
     flaw
    -0.61
     reinvest
    -0.60
    heartedly
    -0.60
    POSITIVE LOGITS
    sburg
    1.55
     Images
    1.53
    Images
    1.08
    sburgh
    1.05
    Getty
    0.89
    images
    0.86
    photo
    0.83
    Photos
    0.82
    Parser
    0.82
    TN
    0.80
    Activations Density 0.016%

    No Known Activations