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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. 19462
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of registrations, particularly in formal 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
    wich
    -0.73
     Tort
    -0.72
    lihood
    -0.71
    pered
    -0.69
     Infinite
    -0.67
     Spice
    -0.67
     Kardashian
    -0.64
     Mercenary
    -0.64
     Revelations
    -0.63
     Shutterstock
    -0.63
    POSITIVE LOGITS
     regist
    1.13
    ials
    1.07
    rar
    0.97
     registration
    0.83
     registrations
    0.83
    IAL
    0.83
    heon
    0.79
    ycle
    0.79
     Regist
    0.77
    ewater
    0.76
    Activations Density 0.005%

    No Known Activations