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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. 6-RES-JB
    11. 11589
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    Explanations

    descriptions related to different temperatures and weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to weather conditions and temperatures, particularly cold and freezing ones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pie
    -0.75
    umbn
    -0.73
    upe
    -0.73
    FG
    -0.71
    advertising
    -0.67
    IGN
    -0.67
    VO
    -0.67
    JECT
    -0.66
    MRI
    -0.66
    Brain
    -0.65
    POSITIVE LOGITS
     temperatures
    1.26
     humidity
    1.14
     showers
    1.08
     winds
    1.07
     climates
    1.06
     rains
    0.99
     winters
    0.97
     breeze
    0.96
     runoff
    0.95
     weather
    0.94
    Activations Density 0.192%

    No Known Activations