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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. 9-RES-JB
    11. 17386
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    Explanations

    instances of the word "it" being used in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    references to the usage of an unspecified object or concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roose
    -0.64
     CFR
    -0.64
     Reck
    -0.60
     Sons
    -0.57
     Deaths
    -0.57
    76561
    -0.56
    odiac
    -0.55
    uctions
    -0.55
    ospons
    -0.55
     Hess
    -0.54
    POSITIVE LOGITS
     sparing
    1.29
     wisely
    1.06
     efficiently
    0.96
     responsibly
    0.95
     offensively
    0.90
     exclusively
    0.89
     inappropriately
    0.89
     extensively
    0.89
     recre
    0.87
     commercially
    0.86
    Activations Density 0.167%

    No Known Activations