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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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    locations or references related to canals

    oai_token-act-pair · gpt-3.5-turbo

    references to the Suez Canal

    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
     tick
    -0.75
     profiling
    -0.70
    ----
    -0.66
     Devin
    -0.65
    SB
    -0.61
     AMD
    -0.59
     Stars
    -0.59
    Heat
    -0.59
     HP
    -0.59
     Jason
    -0.59
    POSITIVE LOGITS
     canal
    3.85
     Canal
    3.83
     canoe
    1.23
     Panama
    1.15
     waterways
    1.13
     irrigation
    1.08
     Nile
    1.03
     sewage
    1.00
     Tunnel
    0.98
     irrig
    0.97
    Activations Density 0.028%

    No Known Activations