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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

    mentions of bills or legislation being passed

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "passed" associated with legislative actions

    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
     Merrill
    -0.69
     Brist
    -0.69
    grave
    -0.65
     Factors
    -0.61
     Forsaken
    -0.59
     Pie
    -0.59
     Isles
    -0.58
    Tur
    -0.58
     awaken
    -0.57
     interval
    -0.57
    POSITIVE LOGITS
     unanimously
    0.99
     muster
    0.96
    smanship
    0.91
     passed
    0.90
     Passed
    0.89
    TPPStreamerBot
    0.80
    interstitial
    0.80
    wd
    0.80
    ivity
    0.78
    ãģĨ
    0.77
    Activations Density 0.021%

    No Known Activations