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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. 12715
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    Explanations

    phrases in a repeated structure emphasizing urgency or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing urgency or recommendations for viewing content

    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
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    No Comments

    Negative Logits
    ©¶æ
    -0.77
     fortun
    -0.75
    onym
    -0.74
    ilk
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.67
     rall
    -0.67
     Kaiser
    -0.65
     icing
    -0.63
     flyers
    -0.63
     Glac
    -0.63
    POSITIVE LOGITS
     WATCH
    1.47
     Replay
    0.85
     WATCHED
    0.83
     Videos
    0.80
    ARD
    0.78
    Watch
    0.77
    WATCH
    0.74
    Photos
    0.74
     00
    0.74
    ached
    0.74
    Activations Density 0.004%

    No Known Activations