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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. 4645
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    Explanations

    phrases that indicate a call to action or emphasize urgency, typically related to media consumption

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "More."

    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
    ournals
    -0.61
    ibli
    -0.58
     goodwill
    -0.58
     rhy
    -0.58
    bably
    -0.58
     lett
    -0.57
    knife
    -0.56
     dissertation
    -0.55
     microbi
    -0.55
     appar
    -0.54
    POSITIVE LOGITS
     Videos
    1.24
     Replay
    0.98
     Thumbnails
    0.77
    Video
    0.75
     VIDEOS
    0.73
     Video
    0.70
    elight
    0.65
     WATCHED
    0.64
     Photos
    0.64
    thumbnails
    0.61
    Activations Density 0.018%

    No Known Activations