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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. 11-RES-JB
    11. 9142
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    Explanations

    leads to content that is deemed as important or urgent to watch

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating compelling video content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fortun
    -0.77
    ©¶æ
    -0.72
    onym
    -0.66
     paran
    -0.63
     rall
    -0.61
     latt
    -0.61
     gobl
    -0.59
     behavi
    -0.59
    ãĤ§
    -0.58
     flyers
    -0.58
    POSITIVE LOGITS
     WATCH
    1.47
     Videos
    0.81
     Replay
    0.79
     WATCHED
    0.76
     00
    0.73
    Watch
    0.72
     READ
    0.71
    ached
    0.71
     Video
    0.71
     VIDEO
    0.69
    Activations Density 0.015%

    No Known Activations