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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. 4-RES-JB
    11. 16703
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    Explanations

    words related to different types of waste, such as organic waste, industrial waste, and hazardous waste

    oai_token-act-pair · gpt-3.5-turbo

    terms related to waste management and disposal

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

    No Comments

    Negative Logits
    odore
    -0.81
    ioned
    -0.72
    uckland
    -0.72
     dawn
    -0.71
    ealous
    -0.71
     assassinated
    -0.70
    ccording
    -0.68
    gdala
    -0.67
    xual
    -0.66
    hran
    -0.65
    POSITIVE LOGITS
    fulness
    0.94
    gate
    0.90
     disposal
    0.88
     Waste
    0.86
     wastes
    0.81
    ware
    0.80
     waste
    0.80
     bins
    0.78
    collection
    0.76
     dumps
    0.75
    Activations Density 0.009%

    No Known Activations