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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
    11. 11516
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    Explanations

    words related to specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and entities, particularly related to enclosures and notable events

    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
     attRot
    -0.73
    itri
    -0.72
     laps
    -0.66
    veland
    -0.65
    hol
    -0.64
     Zoe
    -0.64
    born
    -0.63
    geist
    -0.63
     nude
    -0.62
    mber
    -0.62
    POSITIVE LOGITS
    ATA
    2.95
    cheon
    2.15
     encl
    1.34
    anza
    1.28
     enclosure
    1.28
     Aden
    1.21
     Canberra
    1.10
    uku
    1.04
     ribbon
    0.95
     patronage
    0.95
    Activations Density 0.056%

    No Known Activations