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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. 7-RES-JB
    11. 7930
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    Explanations

    references to statistical measures such as medians, specifically in relation to income and costs

    oai_token-act-pair · gpt-3.5-turbo

    references to median statistics related to income or values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGHTS
    -0.70
    worms
    -0.69
    ACTION
    -0.69
    choes
    -0.68
    aping
    -0.66
    arse
    -0.65
    DOM
    -0.65
    rub
    -0.65
    acion
    -0.64
    lean
    -0.63
    POSITIVE LOGITS
     household
    0.87
     income
    0.83
     Income
    0.82
     Household
    0.73
     incomes
    0.71
    ered
    0.67
     median
    0.67
    wealth
    0.66
     annual
    0.66
     lifespan
    0.65
    Activations Density 0.025%

    No Known Activations