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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. 8625
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    Explanations

    words related to valuable items or things of significance, particularly emphasizing the concept of treasure

    oai_token-act-pair · gpt-3.5-turbo

    references to treasures and valuable items

    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
    SPA
    -0.76
    sen
    -0.69
     Karin
    -0.69
     Kend
    -0.67
     Perspect
    -0.67
     Activ
    -0.64
     provisional
    -0.64
    STD
    -0.62
     Lethal
    -0.61
    osuke
    -0.61
    POSITIVE LOGITS
     trove
    1.68
     hoard
    1.02
     chests
    1.00
     looted
    0.97
     treasures
    0.92
     treasure
    0.90
     stash
    0.89
    collection
    0.87
    rs
    0.85
    asures
    0.85
    Activations Density 0.055%

    No Known Activations