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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. 1576
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    Explanations

    personal statements or quotes

    oai_token-act-pair · gpt-3.5-turbo

    first-person perspectives or statements

    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
    arthed
    -0.89
     Curve
    -0.70
     ABV
    -0.70
     Selection
    -0.70
     Gutenberg
    -0.68
    erenn
    -0.66
     ®
    -0.66
    imum
    -0.64
    draft
    -0.64
    course
    -0.64
    POSITIVE LOGITS
     prayed
    1.37
     cried
    1.30
     pray
    1.26
     begged
    1.21
     plead
    1.14
     pleading
    1.13
     crying
    1.13
     weep
    1.10
     praying
    1.08
     panicked
    1.07
    Activations Density 0.410%

    No Known Activations