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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. 22174
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    Explanations

    phrases related to severe conditions or injuries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to serious injuries or critical conditions

    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
    enty
    -0.69
    ifully
    -0.68
    herical
    -0.66
    uality
    -0.66
    istor
    -0.65
     Mutual
    -0.65
     Parenthood
    -0.64
    aucuses
    -0.64
    yes
    -0.64
    essee
    -0.63
    POSITIVE LOGITS
     injured
    1.29
     wounded
    1.18
     damaged
    1.14
     ill
    1.10
     harmed
    1.09
     impaired
    1.07
     injuring
    1.07
     flawed
    1.03
     degraded
    1.01
     weakened
    1.01
    Activations Density 0.053%

    No Known Activations