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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. 15588
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    Explanations

    references to numerical values such as statistics or measures

    oai_token-act-pair · gpt-3.5-turbo

    references to median statistics

    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
    obby
    -0.74
    choes
    -0.73
    into
    -0.69
    Revolution
    -0.68
    chu
    -0.68
    oyal
    -0.65
    uador
    -0.64
    loo
    -0.64
    IGHTS
    -0.63
    YN
    -0.63
    POSITIVE LOGITS
     median
    0.97
     Median
    0.86
     income
    0.80
     Income
    0.79
     incomes
    0.72
     household
    0.72
    awi
    0.72
    ĺħ
    0.70
    itures
    0.69
     percentile
    0.68
    Activations Density 0.007%

    No Known Activations