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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. 12-RES-JB
    11. 3091
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    Explanations

    references to transfers, both in sports and other contexts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to sports transfer activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Yamaha
    -0.57
    htaking
    -0.55
    colo
    -0.54
    ynthesis
    -0.54
    ahead
    -0.53
     transc
    -0.53
    enance
    -0.52
     Nationals
    -0.52
    hedral
    -0.52
    Compare
    -0.52
    POSITIVE LOGITS
    iture
    0.75
    da
    0.67
    BD
    0.66
    igs
    0.64
    BP
    0.64
    iola
    0.63
    bay
    0.63
    mitted
    0.63
    itated
    0.59
    ig
    0.59
    Activations Density 0.211%

    No Known Activations