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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. 4582
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    INDEX
    Explanations

    percentages and numerical data related to various categories or groups

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly statistics and percentages

    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
     organising
    -1.00
    BBC
    -0.96
     (£
    -0.96
     £
    -0.92
     recognise
    -0.91
     Whilst
    -0.86
     ',
    -0.86
    avour
    -0.84
    aviour
    -0.83
    '.
    -0.80
    POSITIVE LOGITS
     percent
    2.01
    percent
    1.49
     Percent
    1.29
     percentage
    1.27
     percentile
    1.16
     centimeters
    1.06
     cents
    1.03
     percentages
    1.02
     %
    0.94
    Percent
    0.93
    Activations Density 0.074%

    No Known Activations