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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. 6-RES-JB
    11. 20344
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    Explanations

    the phrase "caught on," particularly in the context of videos or surveillance footage

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "caught on" as it relates to monitoring or observation in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.60
    utenberg
    -0.59
    regate
    -0.57
    raught
    -0.57
     Theft
    -0.56
    Ô
    -0.55
     Sphere
    -0.54
     libel
    -0.53
     Ritual
    -0.53
    Ùİ
    -0.52
    POSITIVE LOGITS
     behalf
    1.01
    eness
    0.95
    shore
    0.93
    erous
    0.85
    coming
    0.79
     occasion
    0.77
    authent
    0.77
    etime
    0.74
    eday
    0.70
    demand
    0.69
    Activations Density 0.094%

    No Known Activations