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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. 13697
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    Explanations

    phrases related to safety issues and compliance in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to workplace safety and compliance

    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
    utm
    -0.81
    dream
    -0.78
    luaj
    -0.76
    olla
    -0.75
    gmail
    -0.75
     Natalie
    -0.74
    lez
    -0.74
    rencies
    -0.73
     Favor
    -0.72
    Kings
    -0.72
    POSITIVE LOGITS
     inspections
    1.57
     precautions
    1.54
     safety
    1.51
     inspected
    1.48
     inspection
    1.48
    afety
    1.42
     safeguards
    1.40
    safety
    1.38
     inspectors
    1.34
     precaution
    1.31
    Activations Density 0.753%

    No Known Activations