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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. 8-RES-JB
    11. 5013
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    Explanations

    references to obtaining or receiving copies of various items or documents

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "copy"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    astical
    -0.76
    ategory
    -0.70
    hesda
    -0.67
    avorite
    -0.66
    usalem
    -0.66
    issions
    -0.66
    doms
    -0.66
    rha
    -0.65
    ESCO
    -0.64
     fins
    -0.63
    POSITIVE LOGITS
    writer
    1.10
    cat
    1.05
     thereof
    1.00
    writers
    0.93
     paste
    0.91
    cats
    0.87
    writing
    0.87
    editor
    0.87
     copy
    0.84
    sheet
    0.83
    Activations Density 0.030%

    No Known Activations