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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. 11554
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    Explanations

    phrases welcoming someone to a specific context or situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the start of a new series or introduction

    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
     emitted
    -0.81
    okia
    -0.80
     contained
    -0.72
     transmitted
    -0.71
     requisite
    -0.70
     conveyed
    -0.69
     exerted
    -0.68
     relied
    -0.68
     incurred
    -0.68
    etooth
    -0.66
    POSITIVE LOGITS
     Wonderland
    0.82
     Subtle
    0.82
     Paradise
    0.78
     paradise
    0.74
    asty
    0.70
     Upper
    0.69
     STATS
    0.68
     Sanctuary
    0.68
     Saras
    0.66
    AST
    0.66
    Activations Density 0.060%

    No Known Activations