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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. 2-RES-JB
    11. 22121
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    Explanations

    phrases related to harmful actions or substances

    oai_token-act-pair · gpt-3.5-turbo

    references to harmful substances or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quart
    -0.83
    hung
    -0.72
    onne
    -0.71
    ulet
    -0.71
    illon
    -0.70
    alon
    -0.70
    peak
    -0.70
    eely
    -0.68
    TeX
    -0.67
    Kings
    -0.67
    POSITIVE LOGITS
     harmful
    1.00
     undermin
    1.00
     harm
    0.89
     adolesc
    0.89
     consequences
    0.83
     substances
    0.81
     endanger
    0.77
     effects
    0.76
     waste
    0.75
     contamin
    0.74
    Activations Density 0.018%

    No Known Activations