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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. 3-RES-JB
    11. 4917
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    Explanations

    keywords related to login information and credentials

    oai_token-act-pair · gpt-3.5-turbo

    instances of login-related terms and usernames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ahn
    -0.82
    anus
    -0.73
    ×IJ
    -0.70
    icz
    -0.66
    Jere
    -0.65
    Church
    -0.62
    ×Ķ
    -0.62
    orah
    -0.61
    Sensor
    -0.61
    general
    -0.61
    POSITIVE LOGITS
     login
    1.17
     credentials
    1.06
     Username
    0.94
     Login
    0.90
    istical
    0.89
     passwords
    0.84
    onymous
    0.83
    igmatic
    0.79
     username
    0.78
    zai
    0.77
    Activations Density 0.010%

    No Known Activations