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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. 8155
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    Explanations

    mentions of cloud computing

    oai_token-act-pair · gpt-3.5-turbo

    references to cloud computing

    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
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    No Comments

    Negative Logits
    Ô
    -0.90
    thodox
    -0.81
    ========
    -0.78
    ickle
    -0.75
    ammed
    -0.74
    ammad
    -0.71
    thritis
    -0.71
    neg
    -0.71
    66666666
    -0.70
    ippi
    -0.70
    POSITIVE LOGITS
     computing
    1.19
     cloud
    0.96
    burst
    0.96
     compute
    0.90
     Computing
    0.88
     service
    0.81
     storage
    0.81
     analytics
    0.80
     Banking
    0.79
     wallet
    0.76
    Activations Density 0.005%

    No Known Activations