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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. 10-RES-JB
    11. 4937
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    Explanations

    words related to moral judgments and evaluations

    oai_token-act-pair · gpt-3.5-turbo

    references to mistakes, wrongdoing, and legal or ethical violations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -1.08
    izen
    -0.91
    iversity
    -0.75
    ictionary
    -0.74
    =-=-=-=-
    -0.72
    growth
    -0.71
    hetics
    -0.71
    HD
    -0.69
    bard
    -0.68
    rises
    -0.66
    POSITIVE LOGITS
     awarding
    1.42
     refusing
    1.39
     appointing
    1.27
     allowing
    1.26
     dismissing
    1.23
     assigning
    1.21
     failing
    1.21
     omission
    1.21
     deleting
    1.18
     underest
    1.16
    Activations Density 0.295%

    No Known Activations