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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. 15441
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    Explanations

    terms related to surveillance and espionage practices, including wiretapping, eavesdropping, informants, and FISA court

    oai_token-act-pair · gpt-3.5-turbo

    terms related to surveillance and wiretapping

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Mankind
    -0.73
     Duchess
    -0.73
     Anthrop
    -0.71
     Dragons
    -0.69
     Pyr
    -0.67
     Vulcan
    -0.66
     Scots
    -0.65
     Edinburgh
    -0.65
    gres
    -0.65
     Human
    -0.65
    POSITIVE LOGITS
     wiret
    1.10
    apped
    1.04
    apping
    1.01
    apper
    0.94
    kefeller
    0.87
    apons
    0.85
    appers
    0.84
     eaves
    0.79
    obook
    0.79
    appings
    0.78
    Activations Density 0.010%

    No Known Activations