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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. 7-RES-JB
    11. 17303
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    Explanations

    statements involving numerical counts or quantities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the structure and function of neurons and cells

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    panic
    -0.77
     WARN
    -0.77
    Ire
    -0.72
    quickShipAvailable
    -0.71
    %]
    -0.70
    audi
    -0.69
    Politics
    -0.66
    姫
    -0.64
    Nation
    -0.61
    isitions
    -0.60
    POSITIVE LOGITS
     consisting
    1.16
     containing
    0.98
     comprised
    0.96
     representing
    0.91
     whose
    0.90
     belonging
    0.88
     comprising
    0.87
    ;
    0.83
     depending
    0.82
     surrounded
    0.81
    Activations Density 0.481%

    No Known Activations