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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. 20278
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    Explanations

    natural disasters and related events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to natural disasters and their impacts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.83
    TPP
    -0.72
    FN
    -0.71
    ãĤ±
    -0.67
    ZI
    -0.67
    uties
    -0.66
    gey
    -0.65
    ãĤ¤ãĥĪ
    -0.65
    TeX
    -0.65
    CHAT
    -0.65
    POSITIVE LOGITS
     havoc
    1.10
     northeastern
    0.91
     southeastern
    0.87
     hardest
    0.85
     rural
    0.84
     northern
    0.83
     farmland
    0.81
     crops
    0.81
     cities
    0.81
     survivors
    0.79
    Activations Density 0.295%

    No Known Activations