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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. 4-RES-JB
    11. 20698
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    INDEX
    Explanations

    phrases containing the expression "Come on" followed by additional context or direct speech

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating arrival or connection

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

    No Comments

    Negative Logits
    tein
    -0.73
    âĢ¢âĢ¢
    -0.68
    Storage
    -0.62
    SourceFile
    -0.61
    friend
    -0.61
    abulary
    -0.60
     Annotations
    -0.59
    uyomi
    -0.59
     Memories
    -0.58
    iveness
    -0.57
    POSITIVE LOGITS
    furt
    0.81
     fruition
    0.67
     blows
    0.66
    hey
    0.63
     smelling
    0.63
    estamp
    0.61
    olor
    0.60
    inel
    0.60
    pard
    0.60
    rance
    0.59
    Activations Density 0.122%

    No Known Activations