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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. 6-RES-JB
    11. 1086
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    Explanations

    words related to investigations and inquiries

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TA
    -0.78
    yip
    -0.75
     ancest
    -0.68
    Chart
    -0.66
    anguage
    -0.65
    oire
    -0.63
     ported
    -0.63
    reference
    -0.62
     rejoice
    -0.62
    inline
    -0.62
    POSITIVE LOGITS
     whether
    0.87
     Integrity
    0.81
     allegations
    0.77
     misconduct
    0.75
     wrongdoing
    0.73
     alleged
    0.72
     probing
    0.71
     Journalism
    0.71
     UFOs
    0.71
     Scientology
    0.70
    Activations Density 0.036%

    No Known Activations