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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. 11-RES-JB
    11. 3337
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    Explanations

    words related to regulations or restrictions being relaxed or tightened, particularly in a political or economic context

    oai_token-act-pair · gpt-3.5-turbo

    actions related to loosening or tightening regulations and restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    failed
    -0.80
    successful
    -0.77
    ertodd
    -0.75
    uine
    -0.72
    matter
    -0.72
     Plain
    -0.67
    acea
    -0.67
    odied
    -0.65
    finished
    -0.63
     Success
    -0.62
    POSITIVE LOGITS
     restrictions
    1.45
     constraints
    1.26
     grip
    1.14
     controls
    1.09
     restraints
    1.08
     regulations
    1.08
     sanctions
    1.03
     tensions
    1.02
     pressure
    1.00
     reins
    0.98
    Activations Density 0.099%

    No Known Activations