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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
    11. 9430
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    Explanations

    mentions of criminal activity, specifically related to firearms and legal violations

    oai_token-act-pair · gpt-3.5-turbo

    numerous mentions of numerical or statistical data associated with risks and consequences

    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
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    No Comments

    Negative Logits
    utical
    -0.68
     endeavour
    -0.66
    cius
    -0.64
     assigned
    -0.62
     Lug
    -0.62
     assignment
    -0.62
    utics
    -0.61
     treasury
    -0.61
     Reincarnated
    -0.60
    heit
    -0.60
    POSITIVE LOGITS
    ³³³³
    1.26
    ³³³³³³³³³³³³³³³³
    1.15
    ³³³³³³³³
    1.11
    ³³³
    1.05
    ³³
    0.94
    SPONSORED
    0.93
    Advertisement
    0.83
    TABLE
    0.81
    Article
    0.80
    Newsletter
    0.79
    Activations Density 0.840%

    No Known Activations