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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. 9-RES-JB
    11. 2636
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    Explanations

    words related to weather conditions, especially rain

    oai_token-act-pair · gpt-3.5-turbo

    references to weather conditions and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruary
    -0.80
    ģĸ
    -0.80
     Unch
    -0.77
     Mellon
    -0.77
    abase
    -0.76
     Worth
    -0.76
    chool
    -0.75
    çīĪ
    -0.74
    ortment
    -0.74
    ADRA
    -0.73
    POSITIVE LOGITS
     humidity
    1.73
     moisture
    1.42
     precipitation
    1.39
     rain
    1.38
     heat
    1.38
     haze
    1.35
     sunlight
    1.32
     dust
    1.29
     fog
    1.29
     rainfall
    1.28
    Activations Density 0.299%

    No Known Activations