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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. 3-RES-JB
    11. 8868
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    Explanations

    references to formal academic citations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly closing parentheses and brackets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uve
    -0.85
    ellery
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    orate
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    Reilly
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    ifying
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    ishly
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    bett
    -0.71
    llah
    -0.71
    itage
    -0.70
    acity
    -0.69
    POSITIVE LOGITS
    *:
    0.94
    ::::::::
    0.77
    76561
    0.72
     Variant
    0.71
    :{
    0.71
    ":-
    0.70
     TBD
    0.70
    ,,,,,,,,
    0.67
    }:
    0.67
     Duration
    0.65
    Activations Density 0.013%

    No Known Activations