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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. 8-RES-JB
    11. 12111
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    INDEX
    Explanations

    instances where individuals or groups are exposed to something specific, often with potential negative consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating exposure to various conditions or influences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tenance
    -0.79
    widget
    -0.76
    notations
    -0.69
    hub
    -0.68
     resolved
    -0.67
    NES
    -0.67
    storage
    -0.67
    iture
    -0.66
    iciary
    -0.63
    frames
    -0.63
    POSITIVE LOGITS
     gunfire
    0.88
     radiation
    0.88
     sunlight
    0.85
     danger
    0.85
     ridicule
    0.85
     firsthand
    0.81
     mist
    0.77
     barrage
    0.75
     unwelcome
    0.72
     vigorous
    0.72
    Activations Density 0.066%

    No Known Activations