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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of riots

    oai_token-act-pair · gpt-3.5-turbo

    references to riots

    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
    bourg
    -0.77
    uchin
    -0.75
    ĻĤ
    -0.73
    icrobial
    -0.71
    sonian
    -0.71
    avez
    -0.69
    ournals
    -0.69
    rica
    -0.68
    phies
    -0.68
    éĸ
    -0.67
    POSITIVE LOGITS
     riot
    1.09
     riots
    0.97
    ous
    0.88
    ously
    0.81
     mobs
    0.75
    naire
    0.74
     dispers
    0.73
     barric
    0.73
     outburst
    0.72
     erupted
    0.72
    Activations Density 0.020%

    No Known Activations