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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. 3348
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    Explanations

    natural disasters and their related impacts and aftermaths

    oai_token-act-pair · gpt-3.5-turbo

    terms related to natural disasters and environmental hazards

    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
    dit
    -0.74
    rote
    -0.69
     bikini
    -0.67
    racuse
    -0.66
    asus
    -0.66
    trak
    -0.65
    amina
    -0.65
    rift
    -0.65
    eele
    -0.64
    sheet
    -0.64
    POSITIVE LOGITS
     occurring
    1.21
     occur
    1.19
    hooting
    1.18
     involving
    1.06
    hips
    1.05
     plag
    1.01
     arise
    0.98
     perpetrated
    0.98
     arising
    0.97
     happening
    0.96
    Activations Density 0.267%

    No Known Activations