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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. 6-RES-JB
    11. 9510
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    Explanations

    phrases related to large bodies of text or research

    oai_token-act-pair · gpt-3.5-turbo

    references to substantial collections or bodies of evidence and information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     hots
    -0.71
    zai
    -0.68
     Pradesh
    -0.66
    opol
    -0.65
    ilee
    -0.63
     NETWORK
    -0.63
    rer
    -0.62
    tery
    -0.61
    umar
    -0.60
    jee
    -0.58
    POSITIVE LOGITS
     fluids
    0.71
     Jenner
    0.68
     medicine
    0.67
    imens
    0.62
     ingested
    0.62
    ItemImage
    0.62
    milo
    0.62
     breathe
    0.60
     breathed
    0.60
    edly
    0.59
    Activations Density 0.081%

    No Known Activations