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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. 13638
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    Explanations

    phrases indicating giving directions or commands to others

    oai_token-act-pair · gpt-3.5-turbo

    references to communication with others

    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
    xtap
    -0.70
    irrel
    -0.68
    hement
    -0.67
    arij
    -0.67
    onis
    -0.67
    marg
    -0.64
    aired
    -0.62
    inf
    -0.62
    hift
    -0.61
    geoning
    -0.61
    POSITIVE LOGITS
     goodbye
    0.93
     how
    0.90
     beforehand
    0.89
     bluntly
    0.88
     stories
    0.87
     why
    0.86
     tales
    0.82
     about
    0.82
     loudly
    0.80
     aloud
    0.79
    Activations Density 0.084%

    No Known Activations