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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. 4-RES-JB
    11. 680
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    INDEX
    Explanations

    names of well-known individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to well-known or prominent individuals or entities

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

    No Comments

    Negative Logits
    requently
    -0.76
    othy
    -0.75
    yrinth
    -0.74
    irth
    -0.69
    iaries
    -0.69
     Thoughts
    -0.68
     rapt
    -0.67
     Forestry
    -0.66
    imar
    -0.65
    sectional
    -0.65
    POSITIVE LOGITS
    lier
    0.99
    paces
    0.85
     brands
    0.84
    brand
    0.81
     contender
    0.76
    æ©
    0.76
    plates
    0.76
    hood
    0.75
     newcomer
    0.74
     contenders
    0.73
    Activations Density 0.024%

    No Known Activations