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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 994
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    Explanations

    information related to violent incidents, such as shootings and casualties

    oai_token-act-pair · gpt-3.5-turbo

    references to incidents involving injuries or fatalities

    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
    soDeliveryDate
    -0.76
    DragonMagazine
    -0.76
    é¾įå¥ij士
    -0.75
    ãĤ¦ãĤ¹
    -0.70
     conquering
    -0.70
     Appro
    -0.68
     quotas
    -0.68
    igslist
    -0.67
    âĶĢâĶĢâĶĢâĶĢ
    -0.65
     conquest
    -0.65
    POSITIVE LOGITS
     injured
    1.62
     wounded
    1.46
     hospitalized
    1.32
     died
    1.24
     survived
    1.23
     perished
    1.21
     injuring
    1.18
     killed
    1.18
     stabbed
    1.17
     injuries
    1.16
    Activations Density 0.429%

    No Known Activations