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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 22423
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    Explanations

    personal names in news articles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and organizations, likely associated with news events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reins
    -0.74
     forwards
    -0.63
     recons
    -0.62
     psychiat
    -0.60
     decomp
    -0.59
     sands
    -0.58
     viz
    -0.58
     compuls
    -0.57
     tending
    -0.56
     anew
    -0.55
    POSITIVE LOGITS
    photo
    0.80
     Images
    0.73
     IMAGES
    0.71
    SPONSORED
    0.71
     RTX
    0.69
    ffic
    0.68
     Generic
    0.67
    <|endoftext|>
    0.65
     Distribution
    0.64
    uers
    0.63
    Activations Density 0.102%

    No Known Activations