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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 17872
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    INDEX
    Explanations

    hospital names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hospitals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sig
    -0.68
     totem
    -0.66
     sage
    -0.66
     counter
    -0.64
     nom
    -0.64
     breaker
    -0.64
     signal
    -0.63
    umen
    -0.63
     2600
    -0.63
     beasts
    -0.62
    POSITIVE LOGITS
     Hospital
    3.65
     Hosp
    2.37
     hospital
    2.27
     hospitals
    2.07
    hospital
    2.06
    ospital
    1.95
     Medical
    1.81
     Clinic
    1.59
     Patients
    1.59
     Surgery
    1.58
    Activations Density 0.006%

    No Known Activations