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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. 3-RES-JB
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    Explanations

    terms related to environmental pollution

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental pollution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tell
    -0.82
    orian
    -0.76
    tre
    -0.75
    Bone
    -0.74
    llan
    -0.74
    ":["
    -0.69
    bable
    -0.69
    ce
    -0.69
    CHA
    -0.68
    ches
    -0.68
    POSITIVE LOGITS
     pollution
    1.12
     pollut
    0.95
     emissions
    0.89
     pollutants
    0.88
     contamin
    0.87
     polluted
    0.87
     poisoning
    0.86
     dioxide
    0.83
    ution
    0.79
     spew
    0.78
    Activations Density 0.016%

    No Known Activations