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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 11022
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    INDEX
    Explanations

    words related to American football wide receivers

    oai_token-act-pair · gpt-3.5-turbo

    references to wide receivers and tight ends in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Editorial
    -0.75
     Paste
    -0.73
    netflix
    -0.73
     Franç
    -0.72
     Newsp
    -0.66
    ega
    -0.66
     UNESCO
    -0.65
     Rowling
    -0.64
     Expedition
    -0.62
     Lore
    -0.62
    POSITIVE LOGITS
     receiver
    1.11
    outs
    1.04
     rusher
    1.04
     linebacker
    1.01
     receivers
    0.94
     Receiver
    0.92
    out
    0.91
     cornerback
    0.91
     scorer
    0.90
    lander
    0.89
    Activations Density 0.053%

    No Known Activations