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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. 3-RES-JB
    11. 13530
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    Explanations

    references to locations or entities with the word "san" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities associated with the concept of sanctuary

    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
    ilater
    -0.74
    ï¸ı
    -0.73
    drivers
    -0.68
    REE
    -0.66
     destro
    -0.66
    ļéĨĴ
    -0.65
    holes
    -0.62
    PsyNetMessage
    -0.62
     shakes
    -0.61
    driver
    -0.61
    POSITIVE LOGITS
    ctuary
    1.31
    itary
    1.06
    ction
    1.04
    San
    0.96
    anton
    0.94
    itized
    0.89
    ctions
    0.88
    ja
    0.86
    auer
    0.85
    apolis
    0.84
    Activations Density 0.019%

    No Known Activations