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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. 2-RES-JB
    11. 526
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    Explanations

    personal names, specifically first and last names

    oai_token-act-pair · gpt-4-turbo

    names of professional athletes in various sports

    oai_token-act-pair · gpt-3.5-turbo

    names of athletes and their associated teams or details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.94
    SPONSORED
    -0.82
     Feminist
    -0.78
    netflix
    -0.70
    20439
    -0.67
     PBS
    -0.65
     Capitalism
    -0.64
    hig
    -0.63
    displayText
    -0.63
     Debor
    -0.62
    POSITIVE LOGITS
     teammate
    1.02
     teammates
    0.99
     rookie
    0.96
     coach
    0.92
     defender
    0.89
     Rookie
    0.86
     linebacker
    0.85
     goalie
    0.84
     coached
    0.83
     fullback
    0.83
    Activations Density 0.517%

    No Known Activations