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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. 8-RES-JB
    11. 11143
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    Explanations

    sequences related to instructions or steps in a process

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and numerical patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     boarding
    -0.62
     bang
    -0.61
    nets
    -0.61
     til
    -0.61
     lang
    -0.58
    owship
    -0.58
    culosis
    -0.57
     wedd
    -0.56
     baskets
    -0.56
     Sawyer
    -0.56
    POSITIVE LOGITS
    776
    0.88
    800
    0.87
    024
    0.85
    200000
    0.84
    920
    0.82
    237
    0.81
    Cola
    0.79
    ĨĴ
    0.79
    618
    0.78
    200
    0.78
    Activations Density 0.127%

    No Known Activations