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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. 5-RES-JB
    6. 8653
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    Explanations

    phrases related to dangers and ironies

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss the concept of "dangers" or negative aspects of various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.76
    CIA
    -0.70
    phabet
    -0.69
    uve
    -0.68
    ACP
    -0.66
     istg
    -0.64
     ILCS
    -0.64
    ño
    -0.64
    Pol
    -0.64
    lem
    -0.63
    POSITIVE LOGITS
     these
    0.78
     interconnected
    0.70
     humankind
    0.69
     hindsight
    0.69
     sorts
    0.68
     this
    0.68
     mankind
    0.68
     confronting
    0.67
     nature
    0.66
     balancing
    0.66
    Activations Density 0.183%

    No Known Activations