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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. 4-RES-JB
    11. 1997
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    social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media platforms, primarily Facebook

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

    No Comments

    Negative Logits
    stood
    -0.74
     downt
    -0.66
    ret
    -0.64
     Coch
    -0.63
    rero
    -0.63
     Shore
    -0.63
    neg
    -0.60
     neighboring
    -0.60
    abl
    -0.60
     Tid
    -0.59
    POSITIVE LOGITS
    ileaks
    0.97
     Features
    0.82
    Leaks
    0.82
    Facebook
    0.81
     PHOTO
    0.79
    uador
    0.78
    twitter
    0.77
    Twitter
    0.76
     Messenger
    0.75
    tenance
    0.74
    Activations Density 0.024%

    No Known Activations