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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. 5320
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    Explanations

    phrases indicating someone being taken to a hospital

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating transport or movement to hospitals

    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
    icip
    -0.69
    stuff
    -0.69
    craft
    -0.64
    [_
    -0.61
    é¾įå¥ij士
    -0.61
    same
    -0.60
    net
    -0.59
    excluding
    -0.59
     exported
    -0.59
    wcsstore
    -0.59
    POSITIVE LOGITS
     safety
    0.98
     hospital
    0.96
     jail
    0.88
    pless
    0.85
     shore
    0.85
     prison
    0.81
     Valhalla
    0.79
     hospitals
    0.78
    ospital
    0.78
     handcuffs
    0.75
    Activations Density 0.107%

    No Known Activations