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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

    words related to specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and brands, particularly "Kensington," "Benz," and "Kendrick."

    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
    GAN
    -0.95
    rons
    -0.90
    berus
    -0.86
    glers
    -0.78
    é¾
    -0.77
    rals
    -0.77
    anuts
    -0.77
     externalToEVAOnly
    -0.76
    riots
    -0.75
    gon
    -0.72
    POSITIVE LOGITS
     gloss
    0.84
    emia
    0.78
    inet
    0.76
     Gutenberg
    0.74
    etics
    0.74
    ened
    0.72
    elf
    0.71
    Benz
    0.70
     blinded
    0.68
     Templ
    0.66
    Activations Density 0.021%

    No Known Activations