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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. 0-RES-JB
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    Explanations

    phrases related to waste management

    oai_token-act-pair · gpt-3.5-turbo

    references to waste management and disposal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agues
    -0.70
    ocular
    -0.66
    cmp
    -0.64
     Malk
    -0.64
    marriage
    -0.63
    amera
    -0.63
     Married
    -0.62
    cil
    -0.62
    nered
    -0.62
     Nights
    -0.61
    POSITIVE LOGITS
     waste
    3.92
     Waste
    2.84
     wastes
    2.64
     wasted
    1.99
     wasting
    1.96
     wast
    1.83
     wasteful
    1.82
     Wast
    1.64
     landfill
    1.61
     wastewater
    1.56
    Activations Density 0.024%

    No Known Activations