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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. 4719
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    oai_token-act-pair · gpt-3.5-turbo

    references to law and legal terminology

    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
    bite
    -0.77
    hang
    -0.71
    Hidden
    -0.71
    LV
    -0.71
    Newsletter
    -0.69
    Ò
    -0.69
    URA
    -0.67
    RS
    -0.65
    iron
    -0.65
    Course
    -0.64
    POSITIVE LOGITS
    chio
    0.90
    enza
    0.89
    ity
    0.84
    raft
    0.82
     acid
    0.81
    iance
    0.76
     acids
    0.76
    ulty
    0.75
    ities
    0.73
    iant
    0.73
    Activations Density 0.025%

    No Known Activations