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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. 3-RES-JB
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    Explanations

    phrases related to wildfires and forest fires

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of fires and wildfires

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atever
    -0.78
     Vide
    -0.74
     Phar
    -0.71
    atem
    -0.70
     Virtue
    -0.69
    Tok
    -0.69
    xus
    -0.68
    eday
    -0.67
    Birth
    -0.67
    omo
    -0.65
    POSITIVE LOGITS
     wildfire
    1.03
    storms
    0.98
     raged
    0.94
     exting
    0.91
    storm
    0.91
     wildfires
    0.90
     retard
    0.90
     brig
    0.88
     blazing
    0.86
     suppression
    0.86
    Activations Density 0.020%

    No Known Activations