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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 10-RES-JB
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    Explanations

    mentions of the state of Utah

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Utah

    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
    lihood
    -0.78
    etting
    -0.66
     overflow
    -0.63
    adobe
    -0.63
     depreciation
    -0.62
     audible
    -0.62
    uers
    -0.62
     reper
    -0.61
    elaide
    -0.61
    emis
    -0.61
    POSITIVE LOGITS
    ns
    1.11
    Utah
    0.94
    ormon
    0.87
     Jazz
    0.87
    Leaks
    0.86
     Utah
    0.85
    ivas
    0.82
     Mormonism
    0.80
    TP
    0.79
    bard
    0.78
    Activations Density 0.039%

    No Known Activations