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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. 6-RES-JB
    11. 7936
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    Explanations

    references to family-related concepts or topics

    oai_token-act-pair · gpt-3.5-turbo

    references to families

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.74
    iasis
    -0.68
    igo
    -0.65
     Prom
    -0.65
     Gaul
    -0.63
     Hoover
    -0.63
     Flavoring
    -0.62
    zeb
    -0.62
    Stre
    -0.61
     GDDR
    -0.61
    POSITIVE LOGITS
    chool
    1.10
    folk
    0.96
    hetical
    0.85
    heses
    0.84
    ilies
    0.78
    archs
    0.76
     reun
    0.75
    hesis
    0.72
     bonded
    0.70
    ILY
    0.70
    Activations Density 0.019%

    No Known Activations