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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. 4-RES-JB
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    Explanations

    keywords related to the Fukushima nuclear disaster

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Fukushima disaster and related events

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

    No Comments

    Negative Logits
    tips
    -0.76
    hip
    -0.70
    haw
    -0.69
    writing
    -0.69
    Hop
    -0.68
    yip
    -0.66
    aws
    -0.66
    sed
    -0.65
    pir
    -0.65
    ship
    -0.65
    POSITIVE LOGITS
    obyl
    1.26
     Fukushima
    1.19
     Dai
    1.12
    ushima
    0.90
     fallout
    0.82
     meltdown
    0.81
     reactor
    0.79
     Chern
    0.78
     reactors
    0.77
     accident
    0.73
    Activations Density 0.015%

    No Known Activations