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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17409
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    Explanations

    phrases related to individuals who are the focus of news stories

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" as a key indicator in identifying individuals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ³³³³
    -0.70
     everlasting
    -0.67
     excluding
    -0.65
     Romance
    -0.65
     Watching
    -0.63
     Anything
    -0.63
    Okay
    -0.61
     beginning
    -0.61
     economical
    -0.61
    00000
    -0.61
    POSITIVE LOGITS
     allegedly
    1.08
     fled
    1.06
     resided
    1.00
     survived
    1.00
     died
    0.99
     testified
    0.99
     escaped
    0.97
     risked
    0.97
     belonged
    0.95
     alleges
    0.94
    Activations Density 0.149%

    No Known Activations