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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. 8-RES-JB
    6. 3682
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horizont
    -0.89
     horr
    -0.88
     Thumbnails
    -0.79
     hemor
    -0.79
     behav
    -0.77
     iP
    -0.77
     ASC
    -0.74
     livest
    -0.73
     multic
    -0.73
     multip
    -0.72
    POSITIVE LOGITS
    enei
    1.22
    owsky
    1.22
    ovich
    1.13
    iani
    1.11
    owitz
    1.07
    awi
    1.06
    ati
    1.03
    cki
    1.01
    gger
    0.99
    olini
    0.99
    Activations Density 0.238%

    No Known Activations