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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. 11487
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific years and dates mentioned in the text

    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
     cer
    -0.89
     Merrill
    -0.83
    eds
    -0.82
     Cer
    -0.80
     Ply
    -0.77
    cer
    -0.76
    nesota
    -0.76
     Cookie
    -0.76
    ERC
    -0.74
    20439
    -0.74
    POSITIVE LOGITS
    ain
    0.92
    AIN
    0.90
    ained
    0.82
    ains
    0.81
    11
    0.77
    rat
    0.76
     Russell
    0.73
     worship
    0.73
     Warlock
    0.73
    Russell
    0.73
    Activations Density 0.241%

    No Known Activations