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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. 2-RES-JB
    11. 8293
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    Explanations

    references to legal or official documents

    oai_token-act-pair · gpt-3.5-turbo

    references to immigration documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    si
    -0.72
    range
    -0.68
    iak
    -0.68
    oise
    -0.66
    rian
    -0.66
    itcher
    -0.65
     Charleston
    -0.64
    alian
    -0.64
     apartheid
    -0.62
    lua
    -0.62
    POSITIVE LOGITS
     papers
    1.21
    peed
    0.93
     Papers
    0.92
     towels
    0.87
    papers
    0.83
    chool
    0.80
    Paper
    0.79
     Journals
    0.77
    ertation
    0.77
    clips
    0.76
    Activations Density 0.011%

    No Known Activations