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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. 7-RES-JB
    11. 2832
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    Explanations

    phrases related to negative events or conditions involving suffering or setbacks

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with medical conditions and setbacks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.79
    iture
    -0.75
    ETF
    -0.69
     Sites
    -0.69
     Places
    -0.68
    posts
    -0.67
     Leilan
    -0.67
    enda
    -0.65
     resumes
    -0.64
     Sands
    -0.64
    POSITIVE LOGITS
     setback
    1.09
     trauma
    1.08
     debilitating
    1.07
     severe
    1.03
     traumatic
    1.03
     setbacks
    1.01
     meltdown
    0.95
     poisoning
    0.95
     hardships
    0.95
     illness
    0.94
    Activations Density 0.163%

    No Known Activations