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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. 15111
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    Explanations

    commands or instructions related to configuring settings

    oai_token-act-pair · gpt-3.5-turbo

    commands related to configuration or settings

    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
    past
    -0.65
     Vaugh
    -0.64
    geoning
    -0.62
     Sacrifice
    -0.62
    article
    -0.61
    lance
    -0.61
    earth
    -0.61
    alez
    -0.60
     Indies
    -0.59
     tears
    -0.59
    POSITIVE LOGITS
     aside
    1.06
    tle
    1.06
    Timeout
    0.97
    upt
    0.90
     defaults
    0.89
    uid
    0.88
     parameters
    0.87
     reminders
    0.86
    ter
    0.83
     thresholds
    0.81
    Activations Density 0.052%

    No Known Activations