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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. 5294
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    oai_token-act-pair · gpt-3.5-turbo

    contextually relevant phrases or clauses

    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
    •Partition Features Layer 8 GPT2 Small
    " token" vs "Token"

    No Comments

    Negative Logits
     ende
    -0.85
     neighb
    -0.80
     quir
    -0.80
     tram
    -0.79
     clin
    -0.76
     derby
    -0.76
     emancipation
    -0.75
     lifes
    -0.74
     relegation
    -0.74
     escaping
    -0.74
    POSITIVE LOGITS
    Quote
    1.48
    https
    1.48
    http
    1.47
    âĢ¢
    1.36
    If
    1.34
    "â̦
    1.33
    From
    1.33
    When
    1.33
    We
    1.32
    Dear
    1.32
    Activations Density 0.119%

    No Known Activations