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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. 2-RES-JB
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    Explanations

    mentions of the word "Jews" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the Jewish people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.85
    ctive
    -0.78
    shown
    -0.74
    tnc
    -0.72
    cer
    -0.72
    station
    -0.71
    amina
    -0.70
    aneously
    -0.70
    nant
    -0.69
    tten
    -0.68
    POSITIVE LOGITS
     Jews
    0.91
    ellery
    0.87
     Israelis
    0.85
    geist
    0.82
     Juda
    0.75
     Refugees
    0.75
    Semitism
    0.74
    esses
    0.72
     rabb
    0.72
    ophobia
    0.72
    Activations Density 0.007%

    No Known Activations