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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. 10-RES-JB
    11. 12453
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    Explanations

    text related to user accounts and their management

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of accounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sight
    -0.77
    NetMessage
    -0.72
    borough
    -0.68
     pand
    -0.66
     contempt
    -0.64
     pollen
    -0.64
    Mos
    -0.63
    ε
    -0.61
    manufact
    -0.60
     intrins
    -0.60
    POSITIVE LOGITS
    ancy
    1.24
     holder
    1.19
     holders
    1.17
     balances
    1.10
    ants
    1.06
     rece
    1.00
     payable
    1.00
    holders
    0.99
    holder
    0.94
     login
    0.87
    Activations Density 0.028%

    No Known Activations