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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

    mentions of natural disasters, particularly wildfires

    oai_token-act-pair · gpt-3.5-turbo

    mentions of wildfires and fire-related terminology

    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
     Phar
    -0.76
    DonaldTrump
    -0.72
    atever
    -0.70
    edy
    -0.66
    ablishment
    -0.66
    Birth
    -0.66
    omo
    -0.64
    xus
    -0.64
    Republic
    -0.63
     Virtue
    -0.63
    POSITIVE LOGITS
    storms
    1.06
     wildfire
    1.05
     raged
    0.99
     exting
    0.96
     wildfires
    0.92
     erupted
    0.90
     raging
    0.89
    storm
    0.89
     roared
    0.87
     erupt
    0.86
    Activations Density 0.017%

    No Known Activations