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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. 1-RES-JB
    6. 17764
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    Explanations

    medical conditions, particularly epilepsy and asthma

    oai_token-act-pair · gpt-3.5-turbo

    references to neurological and respiratory medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andum
    -0.75
    eworld
    -0.71
    agher
    -0.68
    achu
    -0.66
    ord
    -0.66
    izens
    -0.64
    aunder
    -0.64
    sa
    -0.63
    spring
    -0.62
    parts
    -0.62
    POSITIVE LOGITS
     epilepsy
    1.24
     epile
    0.91
     patients
    0.86
     dementia
    0.81
    ipolar
    0.78
     mell
    0.75
     cancer
    0.75
     asthma
    0.74
     disorder
    0.74
     disorders
    0.73
    Activations Density 0.010%

    No Known Activations