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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. 0-RES-JB
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    Explanations

    mentions of the term "Nazi"

    oai_token-act-pair · gpt-3.5-turbo

    references to Nazis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocket
    -0.84
     recharge
    -0.78
     iT
    -0.74
    CT
    -0.66
    ockets
    -0.66
     refreshed
    -0.65
    lake
    -0.65
    KT
    -0.64
    TC
    -0.64
    aday
    -0.63
    POSITIVE LOGITS
     Nazi
    3.71
     Nazis
    3.18
    Nazi
    2.77
     Hitler
    2.52
    Nazis
    2.33
     Holocaust
    2.08
     fascist
    2.06
     swast
    1.95
     Auschwitz
    1.91
     Adolf
    1.84
    Activations Density 0.021%

    No Known Activations