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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15734
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    Explanations

    phrases related to being caught or captured

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating something that has been caught on video or camera

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idia
    -0.82
    enhagen
    -0.75
    amba
    -0.72
     proxies
    -0.69
    arcity
    -0.67
    VIDIA
    -0.66
    amiya
    -0.65
    ifted
    -0.65
     unification
    -0.64
    interstitial
    -0.64
    POSITIVE LOGITS
    ById
    0.77
    tle
    0.74
     Rebell
    0.65
    ï¸ı
    0.65
    EMOTE
    0.64
     Sovere
    0.64
    Success
    0.63
     Lank
    0.62
     whiff
    0.62
    OFF
    0.61
    Activations Density 0.110%

    No Known Activations