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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 22700
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    Explanations

    phrases related to sticking to a commitment or decision

    oai_token-act-pair · gpt-3.5-turbo

    expressions or phrases conveying adherence or commitment to principles and guidelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.73
    apest
    -0.71
    ESA
    -0.71
    illion
    -0.71
    SEE
    -0.70
    acha
    -0.69
    FORE
    -0.68
    etheus
    -0.68
    ASED
    -0.67
    ael
    -0.67
    POSITIVE LOGITS
     basics
    0.93
     tradition
    0.83
     principles
    0.83
     fundamentals
    0.79
     orthodoxy
    0.78
     traditions
    0.78
     principle
    0.76
     quo
    0.74
     procedural
    0.74
     resolutions
    0.72
    Activations Density 0.113%

    No Known Activations