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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

    references to wildfires

    oai_token-act-pair · gpt-3.5-turbo

    terms related to wildfires and their impacts

    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
    Moon
    -0.81
    obar
    -0.78
    berman
    -0.77
    arist
    -0.77
    ysis
    -0.76
    omo
    -0.75
    atem
    -0.74
    ocr
    -0.69
    abet
    -0.69
     Phar
    -0.67
    POSITIVE LOGITS
     wildfire
    1.33
     wildfires
    1.07
    fires
    0.87
     blaze
    0.80
     exting
    0.79
    storms
    0.76
     [|
    0.74
     raged
    0.73
    culosis
    0.73
    è»
    0.71
    Activations Density 0.011%

    No Known Activations