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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. 11-RES-JB
    11. 11831
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    Explanations

    phrases related to data collection and surveillance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data collection and privacy issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.72
    bush
    -0.71
    glas
    -0.70
    ente
    -0.70
    onement
    -0.70
    belt
    -0.68
    Solution
    -0.67
    sis
    -0.66
     Presbyter
    -0.66
    inus
    -0.65
    POSITIVE LOGITS
     information
    1.38
     data
    1.37
     confidential
    1.28
     metadata
    1.28
     passwords
    1.27
     anonym
    1.24
     sensitive
    1.20
     identifiable
    1.17
     identifying
    1.14
     identifiers
    1.11
    Activations Density 0.273%

    No Known Activations