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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. 7-RES-JB
    11. 20803
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    Explanations

    terms related to provoking emotions or stirring up reactions

    oai_token-act-pair · gpt-3.5-turbo

    themes related to provocation or incitement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WATCHED
    -0.73
    esan
    -0.69
     route
    -0.68
     rendered
    -0.67
     handle
    -0.64
    uters
    -0.63
    ians
    -0.63
    é¾įå
    -0.62
    çĦ
    -0.61
     Controls
    -0.61
    POSITIVE LOGITS
     havoc
    1.01
     enthusiasm
    0.88
     controversy
    0.84
     excitement
    0.83
     curiosity
    0.81
     fires
    0.80
     frenzy
    0.80
    Development
    0.80
     laughter
    0.79
     pandemonium
    0.77
    Activations Density 0.108%

    No Known Activations