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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. 19238
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    Explanations

    sources of inspiration

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate sources of inspiration

    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
    mouth
    -0.95
    shake
    -0.82
    til
    -0.79
    Mbps
    -0.78
    verage
    -0.77
    olit
    -0.77
    numbered
    -0.77
    igned
    -0.76
    tailed
    -0.76
    storage
    -0.76
    POSITIVE LOGITS
     inspiration
    0.95
     motif
    0.92
     Rowling
    0.89
     mythology
    0.88
     inspir
    0.86
     scripture
    0.84
     sentiments
    0.83
     Tolkien
    0.82
     classics
    0.81
     folklore
    0.81
    Activations Density 0.125%

    No Known Activations