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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. 8-RES-JB
    11. 302
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    Explanations

    descriptions of weather conditions, especially related to the sun and snow

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of weather and environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.88
    thood
    -0.86
    FN
    -0.82
    actionDate
    -0.79
    ADRA
    -0.78
    abase
    -0.77
     successors
    -0.77
    elligent
    -0.76
     successor
    -0.74
    ISA
    -0.74
    POSITIVE LOGITS
     humidity
    1.23
     showers
    1.22
     rains
    1.15
     haze
    1.12
     precipitation
    1.12
     raining
    1.06
     rain
    1.05
     rainy
    1.05
     humid
    1.02
     storms
    1.02
    Activations Density 0.580%

    No Known Activations