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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. 3-RES-JB
    11. 20146
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    paragraphs starting with "All"

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "all."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.78
    abwe
    -0.75
     tremend
    -0.72
    rir
    -0.70
    isoft
    -0.64
    aminer
    -0.64
    existent
    -0.63
     Schwe
    -0.62
    undai
    -0.62
     horizon
    -0.61
    POSITIVE LOGITS
    owing
    1.14
    ocating
    1.13
    ocate
    1.11
    iances
    1.10
    owed
    1.09
    ocated
    1.09
    iance
    1.09
    igator
    1.08
    ocation
    1.05
    ergic
    0.94
    Activations Density 0.125%

    No Known Activations