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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. 8-RES-JB
    11. 7970
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    Explanations

    action phrases related to user authentication

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to logging into accounts or authentication processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    MAT
    -0.69
     coating
    -0.66
     diminishing
    -0.65
     crate
    -0.64
     Thorn
    -0.64
     bou
    -0.63
    ãĤ¡
    -0.63
     ration
    -0.63
    ãĤ©
    -0.62
     gelatin
    -0.61
    POSITIVE LOGITS
     Username
    1.06
     credentials
    0.88
    ividual
    0.85
     User
    0.82
    uid
    0.82
    password
    0.78
     Login
    0.76
     Password
    0.76
     login
    0.75
    abases
    0.75
    Activations Density 0.081%

    No Known Activations