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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 10-RES-JB
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    Explanations

    mentions of the word "jew" or "jewelry."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Jew" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contin
    -0.71
     Reality
    -0.70
     Vietnam
    -0.62
     setbacks
    -0.61
     Allied
    -0.61
    é¾
    -0.60
     simultane
    -0.60
     necessity
    -0.60
     impossibility
    -0.60
     inev
    -0.59
    POSITIVE LOGITS
    ellery
    2.02
    elled
    1.50
    eller
    1.40
    eled
    1.40
    els
    1.23
    eling
    1.23
    ell
    1.19
    el
    1.12
    ett
    1.11
    elle
    1.08
    Activations Density 0.050%

    No Known Activations