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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. 9455
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    Explanations

    phrases related to dates and social media handles

    oai_token-act-pair · gpt-3.5-turbo

    recurring data patterns and specific identifiers, particularly in a structured format

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Hert
    -0.89
     Hua
    -0.80
     Alc
    -0.78
     Slovakia
    -0.75
     Luxembourg
    -0.73
     Johnston
    -0.71
     Heaven
    -0.70
     Meridian
    -0.70
     Jill
    -0.69
     Henderson
    -0.69
    POSITIVE LOGITS
    4
    1.38
     4
    1.20
    ģ
    0.89
    5
    0.87
    four
    0.85
     Four
    0.83
    âĺħ
    0.82
    oto
    0.79
    Four
    0.78
     IV
    0.77
    Activations Density 0.179%

    No Known Activations