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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. 10-RES-JB
    11. 23340
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    Explanations

    percentages or statistical information

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly percentages and other statistical measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conduc
    -0.81
     tremend
    -0.75
     ende
    -0.70
    conservancy
    -0.68
     mathemat
    -0.66
     moderation
    -0.65
    necess
    -0.65
     assembled
    -0.65
     poisons
    -0.62
    omnia
    -0.62
    POSITIVE LOGITS
    6666
    1.02
    3333
    0.93
    %
    0.88
    66666666
    0.84
     [+]
    0.79
     WRITE
    0.73
     ±
    0.73
    BSD
    0.70
     [*]
    0.67
     =================================================================
    0.67
    Activations Density 0.063%

    No Known Activations