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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. 3-RES-JB
    11. 12794
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    INDEX
    Explanations

    references to sports rankings and achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings and top positions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Äĩ
    -0.83
     Garc
    -0.66
     Instrument
    -0.65
    Ø©
    -0.65
     Nare
    -0.64
     Kund
    -0.64
     Dept
    -0.64
     Moons
    -0.63
     COUR
    -0.63
     Ruk
    -0.62
    POSITIVE LOGITS
     rookies
    0.95
     tier
    0.93
     rated
    0.93
     rookie
    0.90
     rusher
    0.88
     contenders
    0.86
    ranked
    0.85
    adelphia
    0.85
     ranking
    0.85
     pros
    0.83
    Activations Density 0.043%

    No Known Activations