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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. 6-RES-JB
    11. 3048
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    Explanations

    phrases related to surveillance and security systems

    oai_token-act-pair · gpt-3.5-turbo

    references to surveillance and monitoring technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     appet
    -0.75
    =]
    -0.72
    AAAAAAAA
    -0.70
    ãĥ´
    -0.69
    rawdownloadcloneembedreportprint
    -0.68
     adolesc
    -0.68
     Taxes
    -0.68
     Asylum
    -0.67
    ":"/
    -0.67
     conquest
    -0.65
    POSITIVE LOGITS
     transmit
    1.00
     operated
    0.99
     malfunction
    0.96
     technicians
    0.93
     monitors
    0.90
     systems
    0.89
     operators
    0.88
    rity
    0.87
     fitted
    0.87
     implanted
    0.87
    Activations Density 0.253%

    No Known Activations