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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. 2-RES-JB
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    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ô
    -0.96
    Ģ
    -0.81
    thodox
    -0.80
    ========
    -0.76
    neg
    -0.75
    éĸ
    -0.73
    MIT
    -0.71
    ickle
    -0.71
    ippi
    -0.71
    sembly
    -0.69
    POSITIVE LOGITS
    burst
    1.11
     cloud
    1.07
     computing
    0.92
     clouds
    0.85
    cloud
    0.81
    forest
    0.76
     Computing
    0.74
     Cloud
    0.74
    bows
    0.72
    iness
    0.71
    Activations Density 0.006%

    No Known Activations