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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. 4-RES-JB
    11. 20697
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    Explanations

    strings related to usernames or specific user-related terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to usernames and user identification

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

    No Comments

    Negative Logits
    pire
    -0.83
    bart
    -0.74
    obl
    -0.73
    orph
    -0.70
    oss
    -0.69
    heny
    -0.68
    upt
    -0.67
    lux
    -0.67
    ibur
    -0.66
    aud
    -0.66
    POSITIVE LOGITS
    username
    0.98
     username
    0.97
     Username
    0.97
    ccess
    0.85
    Filename
    0.81
    ername
    0.80
    admin
    0.70
     credentials
    0.69
    \\\\\\\\\\\\\\\\
    0.68
     surname
    0.68
    Activations Density 0.031%

    No Known Activations