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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. 22538
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    Explanations

    words related to various objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to various categories or types of items or concepts

    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
     2024
    -0.80
     2050
    -0.66
     Kubrick
    -0.66
     Tanaka
    -0.66
    ctor
    -0.66
     1915
    -0.65
    asma
    -0.62
    ffee
    -0.62
    aram
    -0.61
    ister
    -0.61
    POSITIVE LOGITS
    worldly
    1.61
     assorted
    0.96
     aspects
    0.90
     types
    0.88
     kinds
    0.87
     forms
    0.86
    quickShipAvailable
    0.85
    wise
    0.84
     facets
    0.83
     avenues
    0.75
    Activations Density 0.069%

    No Known Activations