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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. 11-RES-JB
    6. 10741
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    Explanations

    obstacles or barriers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obstacles and barriers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liv
    -0.68
    atorium
    -0.68
    zsche
    -0.68
    ream
    -0.65
     RELEASE
    -0.64
    ERAL
    -0.63
    ffield
    -0.62
    iren
    -0.62
    daq
    -0.61
     Transcript
    -0.61
    POSITIVE LOGITS
     preventing
    1.13
     obstacle
    1.12
     obstacles
    1.07
     barriers
    1.06
     erected
    1.01
     barrier
    0.96
     insur
    0.96
     blocking
    0.96
     impede
    0.95
     hurdles
    0.94
    Activations Density 0.081%

    No Known Activations