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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. 8302
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    Explanations

    phrases using the phrase "pretty much"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "pretty much."

    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
    atures
    -0.82
    andra
    -0.77
    inav
    -0.75
    etts
    -0.73
    ivating
    -0.72
    abad
    -0.72
    eni
    -0.70
     Yard
    -0.69
    oresc
    -0.68
    oscope
    -0.68
    POSITIVE LOGITS
     resemble
    0.69
     nailed
    0.64
    margin
    0.63
     boils
    0.63
     depends
    0.63
     appreciated
    0.62
     sums
    0.61
     resembles
    0.60
     useless
    0.60
     else
    0.60
    Activations Density 0.024%

    No Known Activations