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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. 9-RES-JB
    6. 14672
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    Explanations

    prompts related to account registration and logins

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to account management, such as logging in, registering, and account status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.64
     scrimmage
    -0.64
    witz
    -0.61
     heck
    -0.61
     ult
    -0.60
    imer
    -0.60
     Luk
    -0.59
     prototyp
    -0.58
     accompany
    -0.58
    lest
    -0.57
    POSITIVE LOGITS
    settings
    0.80
     Login
    0.78
    oa
    0.76
     Registration
    0.74
    password
    0.73
    Account
    0.72
     Profile
    0.72
    Login
    0.71
     Username
    0.70
     login
    0.70
    Activations Density 0.059%

    No Known Activations