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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. 8-RES-JB
    11. 12866
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    Explanations

    words related to medical conditions, injuries, and disabilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to injuries, medical conditions, and vulnerable populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agall
    -0.75
    BuyableInstoreAndOnline
    -0.74
    MAG
    -0.72
    wcsstore
    -0.71
    ographed
    -0.68
    oter
    -0.67
     Izan
    -0.66
    BIT
    -0.66
     embr
    -0.65
    ãĤ´ãĥ³
    -0.65
    POSITIVE LOGITS
     persons
    1.14
     individuals
    1.02
     souls
    1.01
    aways
    0.96
     Persons
    0.86
     masses
    0.86
     survivors
    0.84
     populations
    0.84
     person
    0.84
     inhabitants
    0.81
    Activations Density 0.105%

    No Known Activations