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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. 4600
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    Explanations

    words related to tightening or loosening rules or restrictions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the modification of rules or regulations

    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
    matter
    -0.72
    Amazing
    -0.71
    uine
    -0.69
    finished
    -0.69
     Yards
    -0.67
     Success
    -0.66
    letes
    -0.65
     Brilliant
    -0.64
     Finished
    -0.64
     Plain
    -0.63
    POSITIVE LOGITS
     restrictions
    1.58
     regulations
    1.30
     controls
    1.24
     restraints
    1.23
     sanctions
    1.22
     penalties
    1.15
     grip
    1.14
     prohibitions
    1.14
     rules
    1.14
     limits
    1.13
    Activations Density 0.111%

    No Known Activations