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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. 1-RES-JB
    11. 21607
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    INDEX
    Explanations

    explicit requests or instances of feedback

    oai_token-act-pair · gpt-3.5-turbo

    references to user feedback

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asar
    -0.80
    neys
    -0.79
    eni
    -0.70
    ns
    -0.67
    ft
    -0.65
    acht
    -0.64
    nee
    -0.64
     ç¥ŀ
    -0.63
    annis
    -0.63
    otto
    -0.63
    POSITIVE LOGITS
     feedback
    1.55
     Feedback
    1.25
     testers
    1.00
     loops
    0.93
     inputs
    0.84
     input
    0.84
    feed
    0.82
    ãĥ¼ãĥĨãĤ£
    0.82
    Feed
    0.79
     reinforcement
    0.79
    Activations Density 0.011%

    No Known Activations