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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. 13144
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    Explanations

    words related to water

    oai_token-act-pair · gpt-3.5-turbo

    words related to athletes or sports figures

    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
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    No Comments

    Negative Logits
     smartphones
    -0.72
     inherit
    -0.66
     confidence
    -0.65
     flowering
    -0.63
     dividend
    -0.62
     boil
    -0.61
     coh
    -0.60
     phones
    -0.60
     routers
    -0.60
     warnings
    -0.59
    POSITIVE LOGITS
    ater
    4.83
    aters
    3.28
    atre
    2.50
    ATER
    2.11
    ating
    1.47
    ator
    1.40
    ATING
    1.34
    aton
    1.34
    atern
    1.27
    arer
    1.24
    Activations Density 0.011%

    No Known Activations