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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. 9394
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    Explanations

    commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ordered."

    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
    cit
    -0.76
    pmwiki
    -0.73
    doi
    -0.72
    Wallet
    -0.69
    Els
    -0.67
     Ern
    -0.67
    ãĤ©
    -0.67
    kj
    -0.67
    td
    -0.66
    bs
    -0.65
    POSITIVE LOGITS
     confir
    0.83
    etary
    0.75
    uria
    0.75
     ordering
    0.72
     deported
    0.70
    eering
    0.69
    isition
    0.69
     butcher
    0.68
     ordered
    0.68
     restitution
    0.67
    Activations Density 0.017%

    No Known Activations