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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. 1-RES-JB
    11. 6584
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    Explanations

    mentions of things that are securely constrained or well-organized

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tight" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.74
     Clever
    -0.74
     Amph
    -0.74
     Twain
    -0.69
    oleon
    -0.69
     Granted
    -0.69
     Mist
    -0.69
     Therapy
    -0.68
    Footnote
    -0.68
    ãĥŁ
    -0.66
    POSITIVE LOGITS
     tight
    1.14
    ness
    0.97
    nesses
    0.96
    tight
    0.83
     tightening
    0.82
     tighter
    0.82
    terness
    0.81
    heed
    0.80
     tightened
    0.78
    lining
    0.77
    Activations Density 0.005%

    No Known Activations