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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. 0-RES-JB
    11. 11911
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    Explanations

    phrases expressing caution or warning

    oai_token-act-pair · gpt-3.5-turbo

    warnings or cautions related to moral and ethical considerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REAM
    -0.76
     accelerated
    -0.70
     differential
    -0.69
     Controlled
    -0.68
     isolated
    -0.67
     Devi
    -0.66
    Capture
    -0.65
     Helic
    -0.65
    huge
    -0.64
    isol
    -0.64
    POSITIVE LOGITS
     lest
    2.11
     decency
    1.88
    lest
    1.64
     civ
    1.32
     avert
    1.25
     etiquette
    1.19
     offend
    1.14
     modesty
    1.13
     persuasion
    1.12
     Ãł
    1.08
    Activations Density 0.075%

    No Known Activations