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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    phrases related to investigations and specific terms like 'uran' and 'Quran'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to investigations and specific events involving the term "uran."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chees
    -0.83
     cheese
    -0.78
     comp
    -0.74
     fro
    -0.72
     Fant
    -0.68
    ère
    -0.68
     bott
    -0.67
     churn
    -0.67
    alloc
    -0.64
     opt
    -0.63
    POSITIVE LOGITS
    uran
    2.89
     Investigation
    2.50
    uras
    1.69
     Investigations
    1.45
     Quran
    1.36
    ourage
    1.15
    ldon
    1.09
    ugu
    1.08
     Investigators
    0.99
    ilion
    0.96
    Activations Density 0.058%

    No Known Activations