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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. 9305
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    Explanations

    specific locations or references to specific data points within a document

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating evidence or conclusions drawn from charts or data

    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
    oided
    -0.77
     Tycoon
    -0.71
    theless
    -0.68
    linger
    -0.67
     brakes
    -0.67
    isers
    -0.66
    usting
    -0.65
    obia
    -0.63
     deemed
    -0.61
    enthal
    -0.59
    POSITIVE LOGITS
     glances
    1.03
     screenshots
    1.00
     graphs
    0.94
     glance
    0.92
     photographs
    0.92
     pictures
    0.92
     watching
    0.89
     photos
    0.88
     glimps
    0.87
     comparing
    0.86
    Activations Density 0.209%

    No Known Activations