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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. 21693
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    Explanations

    mentions of social media features like tweets, Facebook posts, and blog posts

    oai_token-act-pair · gpt-3.5-turbo

    references to online engagement and social media activities

    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
    ©¶æ¥µ
    -0.71
    termination
    -0.69
     halted
    -0.68
     cumbers
    -0.68
    Ö
    -0.67
    Exit
    -0.67
    ustomed
    -0.66
    shut
    -0.66
     sluggish
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
    POSITIVE LOGITS
     hashtag
    1.24
     caption
    1.20
     poem
    1.03
     inspirational
    1.03
     descriptive
    1.02
     Tags
    1.01
     initials
    1.01
     preferably
    0.98
     tag
    0.98
     hasht
    0.98
    Activations Density 0.455%

    No Known Activations