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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. 3-RES-JB
    11. 17547
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    Explanations

    references to tags, labels, or metadata

    oai_token-act-pair · gpt-3.5-turbo

    references to tagging and labels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.80
     Lumpur
    -0.73
    ¬¼
    -0.72
    ITNESS
    -0.70
     Reverend
    -0.70
     liberty
    -0.63
     Ell
    -0.63
     Cox
    -0.61
    icago
    -0.61
     Monetary
    -0.61
    POSITIVE LOGITS
    alog
    1.09
    gers
    1.05
    tag
    1.02
    tags
    1.01
    ged
    0.99
    gery
    0.93
    TAG
    0.88
    otle
    0.83
    strip
    0.82
     tag
    0.81
    Activations Density 0.009%

    No Known Activations