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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 6318
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    Explanations

    phrases that involve an emotional or intentional aspect

    oai_token-act-pair · gpt-3.5-turbo
    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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    No Comments

    Negative Logits
     ÂŃ
    -0.68
    à©
    -0.66
     iCloud
    -0.61
     à¨
    -0.61
     SAP
    -0.61
     FedEx
    -0.60
     crypt
    -0.60
     ��������
    -0.60
     autop
    -0.58
     Guant
    -0.58
    POSITIVE LOGITS
    pedia
    0.91
    utenberg
    0.81
    friends
    0.76
    him
    0.75
    ulo
    0.73
    values
    0.71
    iland
    0.71
    lyn
    0.70
    ilts
    0.67
    eda
    0.67
    Activations Density 0.732%

    No Known Activations