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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. 5-RES-JB
    6. 20269
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to organizations, reports, and scientific entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ado
    -0.65
    gie
    -0.62
     Gors
    -0.61
     Elixir
    -0.61
     Breitbart
    -0.61
     puff
    -0.60
     Esp
    -0.59
     Bohem
    -0.58
     Fn
    -0.58
     compan
    -0.58
    POSITIVE LOGITS
    KI
    1.04
    WD
    0.96
    ESS
    0.94
    FORM
    0.93
    KT
    0.92
    ET
    0.90
    ITE
    0.90
    RAG
    0.89
    amily
    0.89
    HE
    0.89
    Activations Density 0.186%

    No Known Activations