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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. 7-RES-JB
    6. 15605
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    Explanations

    phrases related to sources or individuals who wish to remain anonymous

    oai_token-act-pair · gpt-3.5-turbo

    references to anonymity and the conditions surrounding it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    joice
    -0.79
    gra
    -0.69
     Rally
    -0.62
     delinqu
    -0.61
    setting
    -0.60
     fundamentals
    -0.59
     Tend
    -0.58
     joints
    -0.57
    killing
    -0.57
    tumblr
    -0.57
    POSITIVE LOGITS
     anonymity
    1.20
     surn
    1.07
     emailed
    0.89
     confidentiality
    0.88
     UNCLASSIFIED
    0.84
     anonymous
    0.83
     pseudonym
    0.83
     anonymously
    0.80
     disclosed
    0.80
     unnamed
    0.80
    Activations Density 0.782%

    No Known Activations