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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. 12479
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    INDEX
    Explanations

    mentions of mild conditions or sensations

    oai_token-act-pair · gpt-3.5-turbo

    references to mild conditions or situations

    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
    andise
    -0.75
    Companies
    -0.69
     Athlet
    -0.68
    ilater
    -0.66
     Yards
    -0.66
     Store
    -0.66
     Framework
    -0.65
     Markets
    -0.63
    ablished
    -0.63
    ynthesis
    -0.62
    POSITIVE LOGITS
    est
    1.06
    er
    0.99
    ew
    0.90
    ers
    0.89
    erate
    0.85
     mild
    0.83
    ening
    0.82
     annoyance
    0.79
    erton
    0.78
    ering
    0.78
    Activations Density 0.006%

    No Known Activations