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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. 6112
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    Explanations

    financial metrics and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantitative measurements or statistics

    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
    axis
    -0.61
    !]
    -0.61
     reperto
    -0.60
    erc
    -0.60
    .]
    -0.59
    SPONSORED
    -0.59
    ...]
    -0.56
    ede
    -0.56
     sclerosis
    -0.56
     Walls
    -0.56
    POSITIVE LOGITS
     sorts
    1.07
     approximately
    0.96
     121
    0.85
     âĪ¼
    0.83
     85
    0.83
     ¥
    0.82
     87
    0.82
     Approximately
    0.81
     115
    0.81
     84
    0.80
    Activations Density 0.138%

    No Known Activations