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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. 13770
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    Explanations

    phrases related to extreme situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with evaluation, assessment, or comparison

    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
     Citation
    -0.71
     Summit
    -0.68
     Jav
    -0.67
     Mirage
    -0.66
     Chronicles
    -0.65
     Cobra
    -0.65
     DV
    -0.64
     CCTV
    -0.64
     KC
    -0.63
     Monetary
    -0.62
    POSITIVE LOGITS
    enos
    0.96
    ifiable
    0.95
    isable
    0.93
    ictive
    0.89
    ctic
    0.89
    erous
    0.88
    achable
    0.88
    rescent
    0.87
    iable
    0.86
    eny
    0.85
    Activations Density 0.572%

    No Known Activations