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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. 14915
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    Explanations

    words related to sources, such as "source of income" or "source of revenue"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate sources and types of support or resources

    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
    arat
    -0.85
    Ń·
    -0.84
    wagen
    -0.76
    roth
    -0.73
    Merit
    -0.72
    WARE
    -0.72
     WATCHED
    -0.72
    ACY
    -0.71
     externalToEVAOnly
    -0.71
    048
    -0.69
    POSITIVE LOGITS
     inspiration
    0.99
     sust
    0.95
     income
    0.87
     wealth
    0.86
     revenue
    0.86
     energy
    0.81
     livelihood
    0.79
     employment
    0.79
     riches
    0.79
     electricity
    0.75
    Activations Density 0.072%

    No Known Activations