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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. 0-RES-JB
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    Explanations

    locations related to a specific mall

    oai_token-act-pair · gpt-3.5-turbo

    references to "Mall."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ×Ļ
    -0.69
    ĸ
    -0.67
    ×IJ
    -0.66
     arbitration
    -0.66
    ber
    -0.65
     decom
    -0.65
    ×Ķ
    -0.63
     nitrogen
    -0.63
     eq
    -0.63
     fitted
    -0.62
    POSITIVE LOGITS
     Mall
    3.94
     mall
    2.21
     malls
    1.77
     Shopping
    1.26
     Macy
    1.26
     Plaza
    1.24
     Pall
    1.15
     Lawn
    1.12
     Caf
    1.09
     Alley
    1.00
    Activations Density 0.015%

    No Known Activations