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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. 18061
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    INDEX
    Explanations

    specific mentions of small objects or quantities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of small or insignificant items and their accumulated significance

    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
     Skies
    -0.72
     Roses
    -0.67
    etheus
    -0.66
    andise
    -0.65
    hibited
    -0.65
    ukong
    -0.63
    Bridge
    -0.63
     Rousse
    -0.62
     Gleaming
    -0.61
     Material
    -0.60
    POSITIVE LOGITS
     (<
    1.32
    tiny
    0.86
     (~
    0.78
     insignificant
    0.78
    pox
    0.76
     (>
    0.76
     increments
    0.76
     scattered
    0.74
     fry
    0.74
    iameter
    0.72
    Activations Density 0.354%

    No Known Activations