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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. 5710
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    Explanations

    legal case-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to legal cases

    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
    erd
    -0.88
    atal
    -0.86
    odes
    -0.86
    pez
    -0.84
    oded
    -0.82
    atomic
    -0.81
    attery
    -0.80
    undai
    -0.77
    olen
    -0.76
    emouth
    -0.75
    POSITIVE LOGITS
     filed
    0.87
    cases
    0.86
    making
    0.80
    suit
    0.78
     against
    0.77
    suits
    0.73
     involving
    0.72
     Heller
    0.72
    Attach
    0.70
     Ruk
    0.68
    Activations Density 0.033%

    No Known Activations