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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. 9-RES-JB
    11. 23986
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    Explanations

    phrases indicating scarcity or insufficiency

    oai_token-act-pair · gpt-3.5-turbo

    issues related to insufficient resources or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itton
    -0.70
    omas
    -0.68
    tsky
    -0.67
    inces
    -0.67
    cessive
    -0.65
    rev
    -0.65
    ayson
    -0.64
    aughs
    -0.61
    azar
    -0.61
    inda
    -0.61
    POSITIVE LOGITS
     available
    1.13
     anymore
    0.97
     reliable
    0.97
     recourse
    0.96
     anywhere
    0.92
     adequate
    0.91
     dedicated
    0.90
     viable
    0.89
     readily
    0.88
     alternatives
    0.87
    Activations Density 0.340%

    No Known Activations