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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. 7-RES-JB
    6. 19911
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    Explanations

    phrases related to medical conditions, especially oxytocin

    oai_token-act-pair · gpt-3.5-turbo

    words related to medical terminology or conditions

    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
    jet
    -0.69
     Jub
    -0.68
    mind
    -0.63
     Anarch
    -0.62
     reper
    -0.60
     Ni
    -0.60
    eye
    -0.59
     Jav
    -0.58
     CrossRef
    -0.57
     lest
    -0.57
    POSITIVE LOGITS
    Ģ
    0.94
    alez
    0.92
    orship
    0.90
    «
    0.80
    IONS
    0.79
    ulty
    0.78
    orial
    0.77
    ģ
    0.76
    vable
    0.75
    ynski
    0.74
    Activations Density 0.109%

    No Known Activations