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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. 84
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    Explanations

    terms related to political controversy and social issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to video content, legal concepts, and social issues

    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
    mma
    -0.89
    arthed
    -0.74
    ertodd
    -0.70
    soDeliveryDate
    -0.70
    ĸļ
    -0.70
    ificent
    -0.68
     Carbuncle
    -0.65
     Canaver
    -0.62
     analysed
    -0.62
     Guinness
    -0.61
    POSITIVE LOGITS
    bugs
    0.73
     notions
    0.73
    Semitism
    0.70
     opportunities
    0.67
    activity
    0.67
     conceptions
    0.67
    rival
    0.67
     efforts
    0.67
     concepts
    0.66
     barriers
    0.65
    Activations Density 0.685%

    No Known Activations