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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. 24024
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    Explanations

    phrases related to legal and regulatory documents or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to legislation

    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
     Canal
    -0.75
    erd
    -0.74
    lighting
    -0.72
     Sul
    -0.68
     Forsaken
    -0.67
     Voy
    -0.66
     Islands
    -0.64
    elsen
    -0.63
     Verb
    -0.62
     Mous
    -0.61
    POSITIVE LOGITS
     enacted
    0.94
    iard
    0.93
     enforcement
    0.91
    arians
    0.91
    ional
    0.90
    clinton
    0.83
    enforcement
    0.83
    ĸļ
    0.83
     legislation
    0.82
    ively
    0.80
    Activations Density 0.018%

    No Known Activations