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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 8213
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    phrases related to logging into accounts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to login actions and account access

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    MAT
    -0.66
     cull
    -0.59
     hect
    -0.59
     scattering
    -0.57
     Toledo
    -0.57
    Allen
    -0.57
     chem
    -0.57
    HOU
    -0.57
    rez
    -0.56
     crib
    -0.56
    POSITIVE LOGITS
     Username
    1.16
     credentials
    1.07
     Login
    1.01
     login
    0.96
    login
    0.94
    onymous
    0.92
     username
    0.91
     Password
    0.90
     captcha
    0.89
    password
    0.88
    Activations Density 0.050%

    No Known Activations