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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. 22865
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    Explanations

    words related to treasures or valuable objects

    oai_token-act-pair · gpt-3.5-turbo

    references to treasures or valuable items

    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
    SPA
    -0.70
    okin
    -0.69
    sen
    -0.68
    ells
    -0.67
    ellar
    -0.66
    LINE
    -0.66
    abad
    -0.66
    sense
    -0.65
    colo
    -0.64
    nee
    -0.64
    POSITIVE LOGITS
     trove
    1.34
    abilia
    0.87
     treasures
    0.87
     treasure
    0.86
     riches
    0.83
     chests
    0.82
    vier
    0.81
     Treasure
    0.80
    asures
    0.74
     Crate
    0.73
    Activations Density 0.009%

    No Known Activations