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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. 2-RES-JB
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    Explanations

    mentions of hurricanes, particularly Hurricane Katrina

    oai_token-act-pair · gpt-3.5-turbo

    references to hurricanes, particularly their impacts and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skirts
    -0.92
    eton
    -0.84
    elled
    -0.79
    rown
    -0.77
    ells
    -0.77
    pires
    -0.76
    hran
    -0.75
    buquerque
    -0.74
    erent
    -0.74
    bourg
    -0.74
    POSITIVE LOGITS
    ricane
    1.27
     Irma
    1.19
     Katrina
    1.15
    ricanes
    1.11
     Hurricane
    1.06
     Sandy
    0.97
     Relief
    0.87
     surge
    0.82
     Nost
    0.81
     Harvey
    0.80
    Activations Density 0.009%

    No Known Activations