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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. 0-RES-JB
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    Explanations

    the name "Watts" appearing in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Watts

    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
     camel
    -0.88
     polymorph
    -0.82
    Adventure
    -0.79
     lich
    -0.74
     inherit
    -0.73
     Azerbaijan
    -0.71
     template
    -0.68
    estine
    -0.68
     royal
    -0.67
    Ireland
    -0.67
    POSITIVE LOGITS
     Watts
    4.42
     watts
    2.04
    atts
    2.04
     Watt
    2.01
     watt
    1.61
     amps
    1.44
     Gunn
    1.41
     Compton
    1.27
    awatts
    1.20
     dB
    1.17
    Activations Density 0.027%

    No Known Activations