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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. 6-RES-JB
    6. 3400
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    INDEX
    Explanations

    proper nouns related to popular media franchises

    oai_token-act-pair · gpt-3.5-turbo

    mentions of video games and films, particularly notable franchises

    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
     guiActiveUnfocused
    -0.81
    20439
    -0.74
    rawdownloadcloneembedreportprint
    -0.74
    mble
    -0.71
    iona
    -0.65
    nown
    -0.63
    hor
    -0.62
    Ô
    -0.61
     timet
    -0.60
    sch
    -0.59
    POSITIVE LOGITS
     Citiz
    0.74
     Jindal
    0.70
     Vegas
    0.69
     Viper
    0.64
     Rouge
    0.63
     Qiao
    0.63
     Rican
    0.62
    ĩ
    0.61
     Patriot
    0.61
    ichick
    0.61
    Activations Density 0.506%

    No Known Activations