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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. 3-RES-JB
    6. 1487
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    Explanations

    the word "meta" or variations of it in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "meta" or self-referential analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.85
    iens
    -0.77
    çİĭ
    -0.69
    IBLE
    -0.69
    HCR
    -0.65
    shire
    -0.65
     Parables
    -0.65
    teenth
    -0.64
    ESCO
    -0.64
     Shooter
    -0.63
    POSITIVE LOGITS
    ethical
    0.95
    alyses
    0.89
    plot
    0.87
     guiActiveUn
    0.80
    allo
    0.79
     meta
    0.78
    ethyl
    0.75
    meta
    0.74
    hei
    0.74
    econom
    0.73
    Activations Density 0.006%

    No Known Activations