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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. 8342
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    awaru
    -1.05
     Flavoring
    -0.90
    merce
    -0.82
    nings
    -0.81
     contrace
    -0.81
     mathemat
    -0.75
     exhib
    -0.74
     millenn
    -0.73
    kef
    -0.72
     agre
    -0.71
    POSITIVE LOGITS
    ãĤ¡
    1.09
    ople
    0.89
    ι
    0.82
    ر
    0.82
    α
    0.80
    âĶĢâĶĢ
    0.77
    ε
    0.76
    LV
    0.75
    ¹
    0.75
    á
    0.75
    Activations Density 0.004%

    No Known Activations