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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. 14622
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    Explanations

    phrases mentioning a specific entity or topic

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that."

    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
     guessing
    -0.64
    AND
    -0.63
     Directions
    -0.60
     Ramos
    -0.58
    Adams
    -0.57
     Corps
    -0.57
    Neill
    -0.57
    ress
    -0.57
    lihood
    -0.57
    ART
    -0.56
    POSITIVE LOGITS
    ÃĥÃĤ
    0.85
     arose
    0.78
     resulted
    0.76
     spawned
    0.75
    ppers
    0.74
    soever
    0.73
    iets
    0.73
     operates
    0.72
    amar
    0.72
    aped
    0.72
    Activations Density 0.243%

    No Known Activations