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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. 11-RES-JB
    11. 6778
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    Explanations

    names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals named Mark and notable occurrences associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aches
    -0.62
    resy
    -0.57
    artifacts
    -0.53
    issues
    -0.53
    holes
    -0.52
    akia
    -0.51
    ses
    -0.51
    cigarettes
    -0.51
    sis
    -0.50
    stown
    -0.50
    POSITIVE LOGITS
    Fe
    0.57
    izoph
    0.55
    Thumbnail
    0.52
     Delicious
    0.51
    ibe
    0.50
    LC
    0.48
    Layer
    0.46
     Fe
    0.46
    Lower
    0.46
     teasp
    0.46
    Activations Density 0.295%

    No Known Activations