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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. 8-RES-JB
    11. 10853
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    Explanations

    words related to small businesses or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to small-scale businesses or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.71
     Shutterstock
    -0.68
    EMENT
    -0.68
     Lama
    -0.65
     Cah
    -0.64
    rers
    -0.63
     Remastered
    -0.63
     Braz
    -0.62
     Lanka
    -0.61
    ADRA
    -0.61
    POSITIVE LOGITS
    scale
    1.28
    bodied
    1.28
    sized
    1.17
    circ
    1.00
    size
    0.99
    enough
    0.99
    batch
    0.97
    unit
    0.97
    level
    0.96
    capacity
    0.95
    Activations Density 0.043%

    No Known Activations