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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. 9-RES-JB
    11. 3423
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    Explanations

    phrases related to rules or regulations and social norms

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "who do not" in various contexts related to exclusion or opposition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.72
     Meadow
    -0.70
     Shap
    -0.63
     Meadows
    -0.62
     Apart
    -0.62
     Darling
    -0.62
     Ground
    -0.61
     Volcano
    -0.60
     Razor
    -0.60
     Highland
    -0.59
    POSITIVE LOGITS
     violate
    1.03
    odcast
    0.95
    oping
    0.95
    oped
    0.93
     participated
    0.91
     knowingly
    0.91
     violates
    0.90
     survive
    0.90
     aren
    0.88
     specialize
    0.88
    Activations Density 0.124%

    No Known Activations