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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. 4896
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    Explanations

    phrases related to notable institutions or individuals

    oai_token-act-pair · gpt-3.5-turbo

    prepositional phrases indicating association or attribution

    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
    fuck
    -0.73
     favorably
    -0.70
    Synopsis
    -0.67
    isol
    -0.65
    quel
    -0.65
    ername
    -0.64
    comments
    -0.63
     fit
    -0.63
    mine
    -0.62
    SPONSORED
    -0.62
    POSITIVE LOGITS
     Carnegie
    0.94
     Georgetown
    0.92
     Johns
    0.91
     Jacksonville
    0.88
     Columbia
    0.87
     Brookings
    0.87
     consultancy
    0.87
     Northwestern
    0.86
     Syracuse
    0.85
     Liberties
    0.84
    Activations Density 0.084%

    No Known Activations