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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. 11-RES-JB
    11. 17706
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    Explanations

    phrases related to reasoning or explanation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to foundational concepts or assumptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anka
    -0.69
     Chains
    -0.69
    runs
    -0.64
     Panther
    -0.63
     Mast
    -0.62
     Annotations
    -0.61
     Kills
    -0.60
     Ranking
    -0.60
     Flavoring
    -0.59
     Bulldogs
    -0.58
    POSITIVE LOGITS
     principally
    1.26
     chiefly
    1.25
     primarily
    1.17
     largely
    1.14
     squarely
    1.12
     fundamentally
    1.11
     solely
    1.10
     mainly
    1.06
     wholly
    1.05
     entirely
    1.05
    Activations Density 0.171%

    No Known Activations