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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. 6-RES-JB
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    Explanations

    mentions of the Fukushima nuclear disaster

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Fukushima nuclear 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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tips
    -0.81
    hirt
    -0.74
    yip
    -0.73
    runner
    -0.72
    coe
    -0.72
    haw
    -0.71
    hot
    -0.71
    tip
    -0.69
    ournals
    -0.69
    ournal
    -0.69
    POSITIVE LOGITS
     Fukushima
    1.19
     Dai
    1.13
    obyl
    1.06
     Galile
    0.94
     Chern
    0.87
     Ces
    0.81
     Nuclear
    0.76
     Hamburg
    0.75
     Haram
    0.71
     radioactive
    0.70
    Activations Density 0.046%

    No Known Activations