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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3087
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    Explanations

    I'm sorry, but I can't provide a summary for Neuron 4 as there is not a clear pattern based on the provided activations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to places and teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĺ
    -0.87
    Interstitial
    -0.81
    LEASE
    -0.80
    EVA
    -0.80
    thia
    -0.78
    zona
    -0.76
    zon
    -0.74
    ðĿ
    -0.73
    conom
    -0.72
    Wikipedia
    -0.71
    POSITIVE LOGITS
     Frenchman
    1.30
     Bundesliga
    1.30
     Portuguese
    1.22
     Reds
    1.21
     midfielder
    1.21
     Blues
    1.20
     club
    1.20
     Spani
    1.19
     striker
    1.19
     Premier
    1.17
    Activations Density 0.176%

    No Known Activations