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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. 1445
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    Explanations

    **medical settings and treatments**

    oai_token-act-pair · gpt-3.5-turbo

    references to hospitals and medical treatment

    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
    wcsstore
    -0.76
    yip
    -0.75
    artisan
    -0.75
    Publisher
    -0.72
    pas
    -0.71
    estamp
    -0.69
    xual
    -0.66
    BOOK
    -0.66
    lust
    -0.65
    CHAT
    -0.65
    POSITIVE LOGITS
    ilitating
    0.91
    ization
    0.87
     outpatient
    0.85
     evacuated
    0.83
    bed
    0.81
     evacuation
    0.80
     annex
    0.79
    ilitation
    0.79
     patients
    0.78
     evac
    0.78
    Activations Density 0.030%

    No Known Activations