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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. 9-RES-JB
    11. 17388
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    years, specifically notable events or releases associated with those years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ierrez
    -0.75
    amber
    -0.68
    ucker
    -0.67
    onite
    -0.67
     hungry
    -0.65
     invoking
    -0.65
    annels
    -0.64
    quartered
    -0.64
    sheets
    -0.64
    atives
    -0.64
    POSITIVE LOGITS
    å¹
    1.58
     EDITION
    0.92
     Edition
    0.85
     INTER
    0.85
     edition
    0.84
    天
    0.81
    åħī
    0.79
    é¾
    0.78
     Annual
    0.78
    æĹ
    0.77
    Activations Density 0.089%

    No Known Activations