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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. 9-RES-JB
    11. 2967
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    Explanations

    copies or replicas of objects or documents

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "copy" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.76
    stice
    -0.66
    ategory
    -0.66
    avorite
    -0.65
    astical
    -0.65
    phasis
    -0.62
    ESCO
    -0.62
     Trop
    -0.62
     tyr
    -0.62
    ounty
    -0.61
    POSITIVE LOGITS
    cat
    1.23
    cats
    1.17
    writer
    1.15
     paste
    1.08
    writers
    1.03
    writing
    1.02
    editor
    0.99
    paste
    0.95
    edited
    0.94
    write
    0.86
    Activations Density 0.061%

    No Known Activations