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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. 1728
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    Explanations

    words related to weather events and disasters, particularly droughts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rough" and its variations, often in the context of describing conditions or experiences

    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
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    No Comments

    Negative Logits
     Beautiful
    -0.68
    emetery
    -0.66
     Cav
    -0.64
    raltar
    -0.62
     Zoo
    -0.59
     Traff
    -0.59
     TAMADRA
    -0.58
    ulkan
    -0.58
     2024
    -0.57
     Nem
    -0.57
    POSITIVE LOGITS
    ons
    0.80
    ements
    0.77
    aed
    0.76
    naissance
    0.76
    auts
    0.74
    ript
    0.72
    alk
    0.71
    ement
    0.71
    ocal
    0.69
    ary
    0.69
    Activations Density 0.155%

    No Known Activations