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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. 3-RES-JB
    11. 457
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    Explanations

    I'm sorry, it appears that there was a mistake. There is no clear pattern to summarize for Neuron 4 based on the activations provided

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual, likely John Cortesi or references to Cortland, in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.90
    ÏĦ
    -0.68
    ³³³³
    -0.67
     Freak
    -0.65
     fruitful
    -0.64
    uyomi
    -0.63
     germ
    -0.61
     paranormal
    -0.60
     Phant
    -0.60
    ³³³
    -0.60
    POSITIVE LOGITS
    icol
    1.07
     Cort
    1.02
    ez
    1.01
    isol
    1.00
    és
    0.90
    heast
    0.89
    oso
    0.87
    ulla
    0.86
    ega
    0.84
    uno
    0.84
    Activations Density 0.012%

    No Known Activations