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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. 8-RES-JB
    11. 1294
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    Explanations

    phrases related to technology and infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    mentions of negative impacts or consequences related to environmental or economic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ALSE
    -0.69
    Quant
    -0.66
     deception
    -0.65
     Arkham
    -0.64
     Correct
    -0.64
    ril
    -0.64
     Init
    -0.63
     Shaman
    -0.63
     interpretations
    -0.61
     camoufl
    -0.60
    POSITIVE LOGITS
     taxp
    1.03
     livelihood
    1.03
     vital
    1.01
    conservancy
    0.95
     dearly
    0.94
     industries
    0.89
     taxpayers
    0.87
     depend
    0.86
     constituents
    0.86
     priceless
    0.83
    Activations Density 0.802%

    No Known Activations