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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
    11. 10093
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    locations mentioned in events or conferences

    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
     Finder
    -0.62
     continuum
    -0.61
     norm
    -0.59
    iotic
    -0.59
     penet
    -0.59
     transgress
    -0.58
     quo
    -0.58
     perman
    -0.58
     Rebell
    -0.57
    inyl
    -0.57
    POSITIVE LOGITS
     Hilton
    0.87
     Marriott
    0.84
     Gardens
    0.83
     Heights
    0.80
     Springs
    0.79
     Meadows
    0.78
     yesterday
    0.77
     airspace
    0.77
     Thomson
    0.75
     presided
    0.75
    Activations Density 0.179%

    No Known Activations