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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. 18888
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    Explanations

    references to ancient Rome or Roman-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Roman" in various contexts

    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
    intosh
    -1.03
    mble
    -0.82
    linger
    -0.77
    */(
    -0.73
    NetMessage
    -0.72
    ï¸ı
    -0.72
    topic
    -0.71
    chief
    -0.71
    jri
    -0.69
    ramid
    -0.68
    POSITIVE LOGITS
     Catholic
    1.06
     Catholicism
    1.00
    ians
    0.90
     Reign
    0.88
     Catholics
    0.87
     numer
    0.86
     legions
    0.85
    arium
    0.85
    ov
    0.83
     Abram
    0.82
    Activations Density 0.041%

    No Known Activations