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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. 0-RES-JB
    11. 10240
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    Explanations

    phrases related to physical injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enty
    -0.72
    global
    -0.66
     Millenn
    -0.66
     2048
    -0.66
     Prism
    -0.65
     Civ
    -0.64
    alist
    -0.63
     Convers
    -0.62
    Progress
    -0.62
    Crypt
    -0.61
    POSITIVE LOGITS
     injured
    3.69
     wounded
    2.54
     injure
    2.15
     injuring
    2.09
     injury
    2.04
    jured
    2.03
     injuries
    2.03
     Injury
    1.81
     damaged
    1.68
     harmed
    1.65
    Activations Density 0.028%

    No Known Activations