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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. 346
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    INDEX
    Explanations

    proper nouns or names, potentially related to show business

    oai_token-act-pair · gpt-3.5-turbo

    prominent names of individuals in the entertainment industry

    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
    alist
    -0.82
    ery
    -0.81
    ansas
    -0.79
    ibel
    -0.79
    uador
    -0.76
    ĸļ
    -0.75
    igans
    -0.74
    pie
    -0.72
    ist
    -0.72
    mare
    -0.72
    POSITIVE LOGITS
    zzi
    0.82
     Adin
    0.73
     Remastered
    0.71
    CHR
    0.66
     Tycoon
    0.64
     Bagg
    0.63
     Vacc
    0.61
     Romero
    0.60
     Bened
    0.59
     circumcised
    0.59
    Activations Density 0.058%

    No Known Activations