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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. 11-RES-JB
    11. 21723
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    Explanations

    instances where people are lacking basic needs or services

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to lack of essential resources or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fail
    -0.72
     inaccur
    -0.69
    Rogue
    -0.66
    ammers
    -0.65
     inacc
    -0.65
    multipl
    -0.63
    \/\/
    -0.63
    batch
    -0.62
     Fraud
    -0.62
    PLA
    -0.62
    POSITIVE LOGITS
     access
    1.05
     electricity
    0.98
     adequate
    0.98
     belongings
    0.95
     sanitation
    0.94
     possessions
    0.93
     recourse
    0.92
     livelihood
    0.91
     respir
    0.90
     toilet
    0.89
    Activations Density 0.297%

    No Known Activations