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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

    dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations or entities related to "Mar"

    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
     Calgary
    -0.90
     Flames
    -0.76
    oot
    -0.75
    itivity
    -0.72
    chens
    -0.69
     Leth
    -0.68
     overcl
    -0.68
    agh
    -0.67
    ech
    -0.67
    tein
    -0.66
    POSITIVE LOGITS
     MAR
    2.66
    MAR
    2.26
    Mar
    2.18
     Marina
    1.97
     Mar
    1.92
     mar
    1.82
     Marion
    1.80
     Marin
    1.75
     Marino
    1.72
     Marble
    1.68
    Activations Density 0.027%

    No Known Activations