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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. 11-RES-JB
    11. 1270
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    INDEX
    Explanations

    descriptions of past events or stories being shared

    oai_token-act-pair · gpt-3.5-turbo

    elements that emphasize memorable moments or achievements in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fax
    -0.84
    protection
    -0.84
    Secondly
    -0.80
    icum
    -0.79
    Instruct
    -0.76
    ctory
    -0.75
    amination
    -0.74
    uphem
    -0.73
    unal
    -0.70
    oit
    -0.70
    POSITIVE LOGITS
     notable
    1.01
     memorable
    0.99
     pivotal
    0.97
     fascinating
    0.97
     celeb
    0.97
     unforgettable
    0.95
     famous
    0.95
     cele
    0.94
     iconic
    0.91
     celebrities
    0.90
    Activations Density 0.453%

    No Known Activations