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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. 1-RES-JB
    11. 837
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    Explanations

    references to a specific place named "Ore"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Ore" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":["
    -0.70
    pdf
    -0.65
    unct
    -0.64
    Applications
    -0.63
    matic
    -0.63
     Patient
    -0.62
    document
    -0.61
    ulate
    -0.60
     Worldwide
    -0.59
    ulation
    -0.58
    POSITIVE LOGITS
     Ore
    1.36
    Ore
    1.04
     ore
    0.96
    zan
    0.87
    gan
    0.81
    heim
    0.80
    lez
    0.79
     steak
    0.78
    zzo
    0.77
    lda
    0.76
    Activations Density 0.007%

    No Known Activations