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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. 1348
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    Explanations

    phrases starting with 'the' followed by a noun or noun phrase

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and their associated phrases indicating connected ideas or relationships

    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
    `.
    -0.78
    '.
    -0.74
    .[
    -0.74
    .).
    -0.73
    .(
    -0.70
    $.
    -0.70
    .:
    -0.70
    requires
    -0.70
    .'"
    -0.69
    !".
    -0.68
    POSITIVE LOGITS
     accompanying
    1.03
     resultant
    1.03
     consequ
    1.02
     subsequent
    0.97
     ensuing
    0.95
     associated
    0.91
     attendant
    0.80
     surrounding
    0.80
     others
    0.77
     related
    0.76
    Activations Density 0.343%

    No Known Activations