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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. 11-RES-JB
    6. 4246
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    INDEX
    Explanations

    references to specific locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    specific names, places, or titles within a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     analyse
    -1.08
     analys
    -1.04
    alys
    -1.01
     analysed
    -0.97
    ensor
    -0.91
    EU
    -0.89
     realise
    -0.87
    alysed
    -0.85
     organis
    -0.85
     behaviours
    -0.83
    POSITIVE LOGITS
     Appalachian
    1.45
     Cherokee
    1.35
     Prairie
    1.34
     creek
    1.34
     Twain
    1.34
     Navajo
    1.31
     Cedar
    1.29
     Cemetery
    1.27
     Railroad
    1.25
     Appalach
    1.24
    Activations Density 0.515%

    No Known Activations