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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. 3075
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    Explanations

    phrases related to action or instructions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "be" in various contexts

    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
     Shiny
    -0.93
    YA
    -0.88
    Hung
    -0.83
    VM
    -0.81
    Yan
    -0.79
    Yu
    -0.79
     shaved
    -0.78
    hya
    -0.78
     Mahar
    -0.75
    rag
    -0.74
    POSITIVE LOGITS
     Cooper
    1.93
     Cooke
    1.47
    Cole
    1.45
     Cole
    1.44
    Co
    1.43
     Cohen
    1.38
    co
    1.29
     Coleman
    1.28
     Co
    1.24
    CO
    1.24
    Activations Density 0.353%

    No Known Activations