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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. 10-RES-JB
    11. 22190
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    Explanations

    words related to natural disasters and environmental hazards

    oai_token-act-pair · gpt-3.5-turbo

    references 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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gey
    -0.75
    ZI
    -0.75
    vich
    -0.70
    '/
    -0.70
     Incident
    -0.67
    senal
    -0.65
    onomy
    -0.65
     RET
    -0.65
    biased
    -0.65
    idon
    -0.64
    POSITIVE LOGITS
     farmland
    1.10
     homes
    1.07
     roofs
    1.05
     crops
    1.04
     havoc
    1.04
     villages
    1.04
     towns
    1.01
     buildings
    1.00
     livestock
    1.00
     neighborhoods
    0.98
    Activations Density 0.246%

    No Known Activations