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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. 4-RES-JB
    11. 1830
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    Explanations

    words related to monuments and landmarks

    oai_token-act-pair · gpt-3.5-turbo

    references to monuments

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

    No Comments

    Negative Logits
    erm
    -0.68
    rosso
    -0.64
    ENG
    -0.64
    Liquid
    -0.62
    Leary
    -0.62
    Rate
    -0.62
     Kut
    -0.62
    Contact
    -0.62
    comes
    -0.62
    Bay
    -0.61
    POSITIVE LOGITS
     monument
    1.14
     monuments
    1.13
     erected
    0.95
    arium
    0.87
     statues
    0.86
    anan
    0.85
     commemor
    0.84
     statue
    0.82
    pty
    0.81
     Monument
    0.81
    Activations Density 0.011%

    No Known Activations