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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. 10-RES-JB
    11. 5314
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    Explanations

    scientific terminology related to levels and concentrations

    oai_token-act-pair · gpt-3.5-turbo

    references to levels or concentrations of various substances, particularly chemicals, nutrients, and toxins in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chart
    -0.84
    nesday
    -0.81
    anship
    -0.78
    OWS
    -0.78
    bowl
    -0.78
    desktop
    -0.74
    ruary
    -0.74
    WS
    -0.74
    Ops
    -0.73
    issance
    -0.73
    POSITIVE LOGITS
     toxins
    1.39
     chemicals
    1.34
     calcium
    1.30
     proteins
    1.30
     nutrients
    1.30
     antioxidants
    1.29
     nitrogen
    1.28
     hydrogen
    1.28
     potassium
    1.27
     pollutants
    1.27
    Activations Density 0.239%

    No Known Activations