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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. 20000
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    Explanations

    phrases related to graffiti

    oai_token-act-pair · gpt-3.5-turbo

    references to graffiti and vandalism

    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
    obar
    -0.83
    ohyd
    -0.82
    othal
    -0.80
    owship
    -0.78
    ivot
    -0.78
    croft
    -0.77
    ppo
    -0.73
    atell
    -0.72
    nesota
    -0.71
    och
    -0.71
    POSITIVE LOGITS
     graffiti
    1.41
     vandalism
    1.04
    ffiti
    0.99
     mural
    0.88
    painted
    0.74
     artwork
    0.74
     tagging
    0.72
     art
    0.72
     spree
    0.72
     painting
    0.71
    Activations Density 0.005%

    No Known Activations