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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. 18098
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    Explanations

    words related to strictness, rules, or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to strictness or stringent regulations

    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
    rade
    -0.88
     Bought
    -0.73
    rex
    -0.73
    cape
    -0.68
    dale
    -0.68
     Memories
    -0.65
    auer
    -0.65
    osphere
    -0.63
    berry
    -0.63
     IMAGES
    -0.63
    POSITIVE LOGITS
     strict
    3.60
     stringent
    2.25
     stricter
    2.19
     rigorous
    1.87
     restrictive
    1.76
     lax
    1.74
     rigid
    1.52
     strictly
    1.50
     restrictions
    1.35
     harsh
    1.29
    Activations Density 0.025%

    No Known Activations