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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. 11868
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    Explanations

    words related to "meta" concepts or analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to "meta" concepts or discussions

    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
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    No Comments

    Negative Logits
    shire
    -0.80
    Interstitial
    -0.74
    iens
    -0.73
     Franks
    -0.72
     Petty
    -0.71
     Shooter
    -0.70
    teenth
    -0.68
    IBLE
    -0.68
    ivity
    -0.67
     Loyal
    -0.65
    POSITIVE LOGITS
    ethical
    1.00
    alyses
    0.93
    plot
    0.92
    allo
    0.85
     guiActiveUn
    0.83
    hei
    0.79
    econom
    0.77
    verse
    0.77
    enter
    0.76
    ethyl
    0.75
    Activations Density 0.016%

    No Known Activations