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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

    keywords related to significant structures or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    references to monuments or significant structures

    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
     Sawyer
    -0.73
    flows
    -0.72
    heat
    -0.69
     AA
    -0.67
     Willow
    -0.67
    flow
    -0.66
     Raw
    -0.66
     SPI
    -0.65
     ISI
    -0.64
    Loading
    -0.64
    POSITIVE LOGITS
     monument
    3.34
     Monument
    3.01
     monuments
    2.90
     memorial
    1.43
     statue
    1.36
     statues
    1.32
     cemetery
    1.19
     shrine
    1.19
     inscription
    1.19
     plaque
    1.15
    Activations Density 0.019%

    No Known Activations