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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. 1-RES-JB
    11. 13866
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    Explanations

    keywords related to compliance or non-compliance with rules, regulations, or orders

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "comply"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iewicz
    -0.83
    numbered
    -0.76
    choice
    -0.73
    oult
    -0.73
    bind
    -0.72
    rug
    -0.69
    marked
    -0.69
    memory
    -0.69
    description
    -0.67
     Towns
    -0.67
    POSITIVE LOGITS
     comply
    1.34
     complied
    1.24
     complying
    1.18
     compliant
    0.99
     compliance
    0.97
    iencies
    0.93
     Compliance
    0.91
     challeng
    0.87
    lishes
    0.84
    iquette
    0.84
    Activations Density 0.009%

    No Known Activations