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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. 9-RES-JB
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    Explanations

    mentions of the location "Utah" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.82
    enegger
    -0.77
     depreciation
    -0.66
    emis
    -0.66
    uers
    -0.64
     overflow
    -0.62
     brute
    -0.61
     advoc
    -0.60
    acters
    -0.60
    Word
    -0.59
    POSITIVE LOGITS
    ns
    1.20
     Jazz
    0.98
    Policy
    0.90
    ivas
    0.89
    Utah
    0.85
     Valley
    0.81
     Rapids
    0.81
     Territory
    0.75
    Lake
    0.75
     Lake
    0.74
    Activations Density 0.036%

    No Known Activations