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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

    references to the Appalachian region

    oai_token-act-pair · gpt-3.5-turbo

    references to Appalachian culture

    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
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    Negative Logits
    ãĤ§
    -0.69
     Hanson
    -0.66
    Meat
    -0.66
    selage
    -0.64
     Skinner
    -0.64
    vous
    -0.63
     Brut
    -0.63
     NX
    -0.62
     Wilde
    -0.61
    pots
    -0.60
    POSITIVE LOGITS
    istries
    0.87
    olit
    0.85
    asca
    0.81
    angelo
    0.80
    atural
    0.80
    20439
    0.78
    heast
    0.78
    alach
    0.77
    _>
    0.76
    inois
    0.73
    Activations Density 0.027%

    No Known Activations