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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. 10-RES-JB
    11. 7293
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    Explanations

    text related to technical instructions or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to urgency and appeals for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Delivery
    -0.77
     Plans
    -0.77
     Estimated
    -0.68
    pleted
    -0.68
     Pwr
    -0.67
     Installation
    -0.64
    planned
    -0.64
    GGGGGGGG
    -0.63
     Unsure
    -0.63
    mercial
    -0.63
    POSITIVE LOGITS
     seldom
    0.98
     biases
    0.97
     rarely
    0.97
    often
    0.94
     often
    0.92
     psychologists
    0.92
     millennia
    0.91
     invariably
    0.91
     tendency
    0.88
     cliché
    0.87
    Activations Density 0.774%

    No Known Activations