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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. 11-RES-JB
    11. 486
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    Explanations

    numerical details associated with medical conditions or injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to serious injuries or medical conditions resulting from incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.69
    zees
    -0.64
     Lia
    -0.61
     Ivanka
    -0.60
     Pillar
    -0.55
    Äĩ
    -0.55
     Mahjong
    -0.55
    IAS
    -0.55
     Papers
    -0.54
     SPACE
    -0.54
    POSITIVE LOGITS
     overdose
    0.71
     ensued
    0.68
     perished
    0.67
     untreated
    0.67
     blames
    0.66
     ensuing
    0.66
     consequ
    0.65
     unprepared
    0.64
     catastrophic
    0.64
     unsuccessful
    0.64
    Activations Density 0.612%

    No Known Activations