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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. 4623
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to comments or requests for audience interaction

    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
     Recon
    -0.71
    ça
    -0.71
    Sensor
    -0.66
    owship
    -0.66
    yrs
    -0.66
    red
    -0.65
     Rescue
    -0.65
    ppo
    -0.65
    isin
    -0.64
    ccording
    -0.63
    POSITIVE LOGITS
     comments
    1.02
     comment
    0.90
     commenters
    0.90
    comments
    0.83
     guiActiveUn
    0.82
     Comments
    0.81
     sections
    0.77
    Comment
    0.76
     commenting
    0.75
    oras
    0.75
    Activations Density 0.028%

    No Known Activations