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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. 9-RES-JB
    11. 16405
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    Explanations

    percentage changes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a decline or decrease in various metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igent
    -0.73
    aca
    -0.73
    inem
    -0.70
    Shift
    -0.70
    isphere
    -0.70
    sylv
    -0.68
    dog
    -0.66
    ira
    -0.66
    ihu
    -0.66
    erning
    -0.64
    POSITIVE LOGITS
     whence
    1.05
     afar
    0.95
     baseline
    0.94
     1929
    0.82
     scratch
    0.78
     1979
    0.77
     2007
    0.77
     2005
    0.76
     conception
    0.75
     1955
    0.75
    Activations Density 0.053%

    No Known Activations