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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. 4062
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    Explanations

    phrases related to violations of rules or laws

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating violations or breaches of rules and standards

    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
    hin
    -0.81
    ppel
    -0.77
    pring
    -0.68
    mania
    -0.68
    herer
    -0.68
    river
    -0.66
    cer
    -0.65
    leon
    -0.64
    owned
    -0.63
    iris
    -0.62
    POSITIVE LOGITS
     rules
    1.29
     laws
    1.24
     tenets
    1.22
     terms
    1.14
     dictates
    1.14
     law
    1.14
     norms
    1.13
     guidelines
    1.12
     regulations
    1.07
     requirements
    1.07
    Activations Density 0.153%

    No Known Activations