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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. 9-RES-JB
    11. 22695
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social etiquette and cautionary advice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ."[
    -0.90
    .[
    -0.84
    .''
    -0.82
    .�
    -0.79
    ''.
    -0.76
    ).[
    -0.74
    ".[
    -0.73
    --
    -0.71
    .''.
    -0.71
    âĢij
    -0.71
    POSITIVE LOGITS
     Patreon
    0.78
     Youtube
    0.78
     facebook
    0.77
     pics
    0.76
     @
    0.75
     Reddit
    0.75
     screenshots
    0.74
     prank
    0.72
     adorable
    0.72
     captcha
    0.72
    Activations Density 1.723%

    No Known Activations