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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
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    Explanations

    phrases related to government surveillance and spying conducted by intelligence agencies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to government surveillance and privacy issues

    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
     Rite
    -0.71
    hani
    -0.70
    ale
    -0.70
    oba
    -0.70
     Bucc
    -0.69
    reci
    -0.66
    incarn
    -0.64
    mort
    -0.64
    adal
    -0.63
    ndra
    -0.63
    POSITIVE LOGITS
     spying
    1.19
     surveillance
    0.99
     targeting
    0.88
     wiret
    0.88
     eaves
    0.87
    ionage
    0.86
    NSA
    0.84
    illance
    0.83
     unconstitutional
    0.81
     surve
    0.81
    Activations Density 0.092%

    No Known Activations