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    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. 2754
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    Explanations

    terms related to medical conditions or procedures, with a particular focus on brain-related topics

    oai_token-act-pair · gpt-3.5-turbo

    references to the brain in various contexts

    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
    aukee
    -0.91
    ipation
    -0.74
    PLIED
    -0.74
    agara
    -0.69
    INO
    -0.69
    orters
    -0.68
    ateurs
    -0.66
    urities
    -0.66
    ielding
    -0.65
    ulton
    -0.65
    POSITIVE LOGITS
     Brain
    0.99
    bags
    0.91
     Squad
    0.88
     Room
    0.84
     Injury
    0.82
     Body
    0.82
     Spending
    0.82
     Games
    0.81
     Toys
    0.80
    Brain
    0.79
    Activations Density 0.020%

    No Known Activations