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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. 8685
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    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
    ozyg
    -0.78
     advis
    -0.70
     glim
    -0.69
    angering
    -0.67
     defe
    -0.65
    ologically
    -0.62
    inous
    -0.62
     involuntary
    -0.62
     silenced
    -0.61
    isse
    -0.61
    POSITIVE LOGITS
     These
    1.53
     Together
    1.30
     Each
    1.27
     Also
    1.26
     Those
    1.24
    These
    1.23
     Additionally
    1.23
     They
    1.22
     Both
    1.18
     respectively
    1.17
    Activations Density 0.508%

    No Known Activations