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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

    Iranian names as the main point of interest

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names or surnames

    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
     caps
    -0.71
     creep
    -0.68
     Measure
    -0.67
     helium
    -0.66
     Columb
    -0.64
     balance
    -0.63
     Dayton
    -0.63
     gut
    -0.63
     fair
    -0.62
    fund
    -0.62
    POSITIVE LOGITS
    iri
    4.68
    iris
    2.15
    irin
    1.50
    ir
    1.37
    irs
    1.37
    imi
    1.35
    iru
    1.34
    ira
    1.25
    eri
    1.22
    iji
    1.16
    Activations Density 0.017%

    No Known Activations