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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. 1-RES-JB
    11. 816
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    Explanations

    phrases related to waste materials and management

    oai_token-act-pair · gpt-3.5-turbo

    references to waste and waste management issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dawn
    -0.83
     assassinated
    -0.74
    anwhile
    -0.73
    odore
    -0.72
    xual
    -0.65
    odiac
    -0.65
    uberty
    -0.64
    peror
    -0.64
    atown
    -0.63
    adena
    -0.63
    POSITIVE LOGITS
     Waste
    1.09
     wastes
    1.09
     waste
    1.08
    gate
    0.92
     wasting
    0.90
    fulness
    0.85
     Wast
    0.82
     wast
    0.75
    rast
    0.70
     wasted
    0.70
    Activations Density 0.009%

    No Known Activations