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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. 11-RES-JB
    11. 11616
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    Explanations

    phrases related to business structures such as "shell company" and "shell growth"

    oai_token-act-pair · gpt-3.5-turbo

    references to "shell" companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Moody
    -0.71
    é¾įå
    -0.69
     Gohan
    -0.69
     Farn
    -0.67
     Mub
    -0.66
     Nunes
    -0.65
     GRE
    -0.64
     Vern
    -0.61
    kson
    -0.60
     Eisenhower
    -0.59
    POSITIVE LOGITS
    fish
    1.38
    shock
    1.35
    acking
    1.03
    acked
    1.02
    shell
    1.00
     casing
    0.91
    code
    0.89
    anguage
    0.84
    ac
    0.83
    brook
    0.82
    Activations Density 0.059%

    No Known Activations