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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. 10841
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    robe
    -0.93
    shaw
    -0.84
    ebook
    -0.83
    arer
    -0.80
    away
    -0.80
    eds
    -0.77
    agra
    -0.76
    our
    -0.76
    ally
    -0.75
    lay
    -0.75
    POSITIVE LOGITS
    ĨĴ
    0.88
    xtap
    0.82
     Felix
    0.82
    Reloaded
    0.81
    entanyl
    0.81
    £ı
    0.79
     confir
    0.79
    etheless
    0.76
    paio
    0.76
    theless
    0.75
    Activations Density 0.019%

    No Known Activations