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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. 23437
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    Explanations

    words related to regulations or guidelines, especially numerical values

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of entertainment and enrollment

    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
    GD
    -0.74
    ItemTracker
    -0.71
     crane
    -0.65
    Downloadha
    -0.63
     Mehran
    -0.62
     Mara
    -0.62
    ilver
    -0.57
     breath
    -0.57
    ODUCT
    -0.56
     daddy
    -0.55
    POSITIVE LOGITS
    ments
    2.24
    ment
    2.18
    mented
    1.62
    mentation
    1.58
    mental
    1.55
    MENTS
    1.47
    ations
    1.34
    MENT
    1.33
    ation
    1.17
    cies
    1.13
    Activations Density 0.072%

    No Known Activations