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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. 7-RES-JB
    11. 21680
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    Explanations

    repetitive occurrences of the word "lost" followed by an object or concept

    oai_token-act-pair · gpt-3.5-turbo

    references to loss or losing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LLOW
    -0.75
    SPONSORED
    -0.72
     solicitation
    -0.72
    Redditor
    -0.72
    DIT
    -0.71
    Exit
    -0.68
    WARN
    -0.67
    hoe
    -0.65
    Statement
    -0.65
    QUI
    -0.64
    POSITIVE LOGITS
     virginity
    1.08
     credibility
    0.82
     momentum
    0.79
     freedoms
    0.79
     dignity
    0.79
     inhib
    0.76
     innocence
    0.74
     altogether
    0.74
    elsen
    0.73
     sanity
    0.73
    Activations Density 0.196%

    No Known Activations