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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. 24098
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    Explanations

    numbers related to measurements, quantities, or specifications

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    chest
    -0.83
    ipient
    -0.59
    à¨
    -0.59
    ayers
    -0.58
    scripts
    -0.57
    Ùİ
    -0.56
    wire
    -0.55
    ounces
    -0.55
    arna
    -0.55
    ECTION
    -0.55
    POSITIVE LOGITS
    +.
    1.03
     onwards
    0.88
     wherein
    0.84
    +,
    0.80
    -.
    0.77
     respectively
    0.74
     onward
    0.73
     again
    0.72
     Lastly
    0.71
     likewise
    0.70
    Activations Density 0.362%

    No Known Activations