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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. 20703
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    INDEX
    Explanations

    mentions of regulations or regulatory actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations

    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
    lihood
    -0.80
    gets
    -0.79
    minster
    -0.76
    tre
    -0.70
     Sul
    -0.69
    stone
    -0.69
    sonian
    -0.69
     Tate
    -0.67
    ience
    -0.65
    quart
    -0.65
    POSITIVE LOGITS
     enforcement
    0.92
     promulg
    0.89
     imposed
    0.85
     breaker
    0.84
     governing
    0.83
     violations
    0.82
     droid
    0.82
     regimes
    0.77
     regulation
    0.77
    inarily
    0.75
    Activations Density 0.015%

    No Known Activations