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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. 10-RES-JB
    11. 16295
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    Explanations

    phrases indicating coming across or encountering something

    oai_token-act-pair · gpt-3.5-turbo

    instances of discovery or coming across new information

    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
    Not in Any Lists

    No Comments

    Negative Logits
    imeters
    -0.76
     endanger
    -0.67
    soever
    -0.67
    externalActionCode
    -0.64
     accur
    -0.64
    physical
    -0.62
    ual
    -0.61
     harms
    -0.61
    icut
    -0.61
    ctory
    -0.60
    POSITIVE LOGITS
     another
    1.08
     something
    1.02
     TWO
    0.88
     Something
    0.87
    another
    0.87
     a
    0.79
     two
    0.78
     an
    0.78
     Rasm
    0.78
     Professor
    0.77
    Activations Density 0.502%

    No Known Activations