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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. 14408
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    Explanations

    large numbers in a financial context

    oai_token-act-pair · gpt-3.5-turbo

    figures related to monetary amounts

    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
     behav
    -0.65
    chin
    -0.61
     Cyrus
    -0.57
     marqu
    -0.56
     compan
    -0.56
    ograp
    -0.56
    hetti
    -0.55
    izoph
    -0.55
     preservation
    -0.55
     provision
    -0.53
    POSITIVE LOGITS
    000
    1.32
    880
    0.99
    075
    0.97
    660
    0.97
    070
    0.96
    00
    0.95
    050
    0.95
    968
    0.95
    767
    0.94
    740
    0.94
    Activations Density 0.086%

    No Known Activations