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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. 4-RES-JB
    6. 3488
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    INDEX
    Explanations

    different variations of the term "BL" with decreasing activations

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific television or media series

    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
    enegger
    -0.84
    mble
    -0.81
    framework
    -0.76
    aeda
    -0.75
    tainment
    -0.73
    gerald
    -0.73
    geist
    -0.69
    duc
    -0.68
    mens
    -0.67
     Gund
    -0.67
    POSITIVE LOGITS
    ACK
    1.01
    OOD
    1.00
    adder
    0.96
    ighting
    0.96
    anca
    0.96
    anche
    0.93
    OCK
    0.91
    umenthal
    0.89
    ADE
    0.86
    AST
    0.85
    Activations Density 0.008%

    No Known Activations