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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. 7800
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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 @ 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
     Subtle
    -0.81
     Genius
    -0.79
    Eva
    -0.69
     Syl
    -0.69
     sublime
    -0.68
     Correspond
    -0.67
     Styles
    -0.67
     disemb
    -0.66
     Apostle
    -0.66
     cannabin
    -0.66
    POSITIVE LOGITS
    onement
    1.02
    encing
    0.92
    payer
    0.91
    ilitation
    0.91
     moratorium
    0.91
     pricing
    0.91
    lling
    0.91
     tariff
    0.90
    isation
    0.89
    atorium
    0.88
    Activations Density 0.424%

    No Known Activations