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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. 10-RES-JB
    11. 10334
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    Explanations

    references to user profiles or profile-related actions

    oai_token-act-pair · gpt-3.5-turbo

    references to user profiles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dry
    -0.72
    iHUD
    -0.70
    RECT
    -0.69
    cision
    -0.69
    undreds
    -0.68
    ansk
    -0.68
    carry
    -0.66
    aband
    -0.66
    displayText
    -0.66
    inth
    -0.65
    POSITIVE LOGITS
     profiles
    1.00
     profile
    1.00
     picture
    0.96
    ocl
    0.83
     Picture
    0.80
     portrait
    0.79
     pics
    0.78
     photograph
    0.77
     pictures
    0.77
    ographies
    0.74
    Activations Density 0.064%

    No Known Activations