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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. 9-RES-JB
    11. 13364
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    Explanations

    mentions of academic affiliations or institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to academic or institutional affiliations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ceilings
    -0.81
    VIDEO
    -0.69
    isphere
    -0.69
    Thumbnail
    -0.68
    boats
    -0.68
    alpha
    -0.64
    plate
    -0.64
    quel
    -0.63
    ptions
    -0.62
    Console
    -0.61
    POSITIVE LOGITS
     NYU
    0.99
     UCLA
    0.96
     Harvard
    0.96
     MIT
    0.95
     Baylor
    0.94
     Johns
    0.94
     Yale
    0.94
     Rutgers
    0.93
     Princeton
    0.92
     Georgetown
    0.88
    Activations Density 0.089%

    No Known Activations