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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. 11-RES-JB
    11. 6742
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    Explanations

    phrases related to eye health and vision

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to eye health and safety during activities like watching an eclipse

    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
     Slaughter
    -0.85
    TPP
    -0.79
     ransom
    -0.79
     Rebell
    -0.76
     dumps
    -0.76
     Civ
    -0.75
    ileaks
    -0.75
    Reloaded
    -0.73
    conom
    -0.72
     Vince
    -0.71
    POSITIVE LOGITS
    ocular
    1.73
     retina
    1.70
     lenses
    1.69
     ey
    1.67
     telescope
    1.67
     telescopes
    1.63
     magnification
    1.59
     optical
    1.56
     optics
    1.54
     lens
    1.54
    Activations Density 0.554%

    No Known Activations