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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. 11-RES-JB
    11. 11306
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to accounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sight
    -0.81
    seq
    -0.68
    NetMessage
    -0.65
    borough
    -0.64
     Flavoring
    -0.64
    burg
    -0.63
    plex
    -0.61
     CES
    -0.61
     ejac
    -0.59
     intrins
    -0.59
    POSITIVE LOGITS
    ancy
    1.30
     holders
    1.16
     rece
    1.15
    ants
    1.14
     balances
    1.14
     holder
    1.13
     payable
    1.07
    holders
    0.95
    holder
    0.91
    abilities
    0.91
    Activations Density 0.059%

    No Known Activations