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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
    11. 17845
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    Explanations

    references to rainfall and precipitation patterns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rainfall and precipitation patterns

    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
    otom
    -0.92
    ovie
    -0.86
    neys
    -0.84
    stra
    -0.84
    ofi
    -0.80
    hub
    -0.78
    lear
    -0.78
    otomy
    -0.77
    enic
    -0.77
    onyms
    -0.75
    POSITIVE LOGITS
     rainfall
    1.13
     precipitation
    0.97
     rains
    0.89
     floods
    0.83
     forecasts
    0.82
    è¦ļéĨĴ
    0.81
     storms
    0.80
     runoff
    0.77
     forecast
    0.77
    storms
    0.77
    Activations Density 0.012%

    No Known Activations