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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. 9-RES-JB
    11. 2789
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    Explanations

    information related to criminal activities and investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to violent crimes and significant incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.75
     skelet
    -0.70
     Gors
    -0.69
    emale
    -0.64
    âĹ¼
    -0.63
     anecd
    -0.63
     UNCLASSIFIED
    -0.63
    earch
    -0.62
    mittedly
    -0.62
    ngth
    -0.61
    POSITIVE LOGITS
     Belfast
    0.76
     frontman
    0.75
    ":{"
    0.68
    AFP
    0.63
    WASHINGTON
    0.62
    î
    0.61
     âĢİ
    0.60
     Donald
    0.60
    ADVERTISEMENT
    0.55
     Wednesday
    0.53
    Activations Density 2.137%

    No Known Activations