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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. 9-RES-JB
    11. 3673
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    Explanations

    mentions of the arrival of something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of arrival or introduction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fuck
    -0.77
    boxing
    -0.74
    /"
    -0.73
    webkit
    -0.72
    hooting
    -0.72
    .-
    -0.68
    ¨
    -0.67
    acci
    -0.67
    rider
    -0.66
    gaming
    -0.66
    POSITIVE LOGITS
     hostilities
    0.73
     these
    0.69
     certain
    0.68
     Hurricane
    0.65
     fossil
    0.64
     another
    0.64
     reinforcements
    0.62
     an
    0.61
     a
    0.61
     some
    0.59
    Activations Density 0.201%

    No Known Activations