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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 4090
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    Explanations

    words related to names or titles

    oai_token-act-pair · gpt-3.5-turbo

    instances of letters and specific proper nouns in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Torch
    -0.88
     Silver
    -0.81
     Sunshine
    -0.80
     SIL
    -0.77
    Silver
    -0.75
     Slave
    -0.75
     Lump
    -0.74
     Rubio
    -0.74
     Solomon
    -0.73
    Rub
    -0.72
    POSITIVE LOGITS
    ANI
    0.96
    ison
    0.80
    é
    0.78
    ani
    0.77
    arton
    0.76
    Dallas
    0.76
    OUR
    0.76
    iott
    0.74
     Ottawa
    0.74
     annotation
    0.73
    Activations Density 0.226%

    No Known Activations