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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. 18051
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    Explanations

    word forms related to physical structures or locations, particularly containing the word "booth"

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of booths and kiosks

    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
    ract
    -0.76
    mitting
    -0.76
    mitted
    -0.71
     Sussex
    -0.67
    ippery
    -0.64
    ICO
    -0.64
    chie
    -0.63
    ochond
    -0.63
     acron
    -0.62
    mits
    -0.62
    POSITIVE LOGITS
     booth
    1.20
     booths
    1.15
    cloth
    1.06
    wagon
    0.95
     kios
    0.88
    holder
    0.85
     stalls
    0.84
    washer
    0.84
    holders
    0.82
    washing
    0.82
    Activations Density 0.012%

    No Known Activations