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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. 10-RES-JB
    6. 8866
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    Explanations

    names, titles, and locations

    oai_token-act-pair · gpt-3.5-turbo

    diverse names and identifiers, possibly related to people or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    \<
    -0.73
    natureconservancy
    -0.70
    bsite
    -0.68
    SPONSORED
    -0.68
    abase
    -0.66
     glim
    -0.60
    etheless
    -0.59
    lehem
    -0.59
    userc
    -0.58
    atin
    -0.58
    POSITIVE LOGITS
    backer
    0.90
    vous
    0.74
    issance
    0.74
     Janeiro
    0.74
     Rouse
    0.73
    kefeller
    0.73
    restling
    0.73
     Tolkien
    0.72
     Grac
    0.72
    afort
    0.71
    Activations Density 0.368%

    No Known Activations