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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. 8-RES-JB
    11. 8053
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    Explanations

    references to trailers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "tra" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Loll
    -0.62
    EXP
    -0.62
    THING
    -0.61
     otherwise
    -0.61
     Pwr
    -0.61
     Sonia
    -0.60
    amental
    -0.60
    IFIC
    -0.60
     err
    -0.59
     OK
    -0.59
    POSITIVE LOGITS
    pped
    1.22
    pping
    1.20
    verse
    1.17
    ppings
    1.11
    pez
    1.09
    ppers
    1.08
    umat
    1.08
    itored
    1.08
    ffic
    1.04
    pper
    1.01
    Activations Density 0.027%

    No Known Activations