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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. 6-RES-JB
    11. 650
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    Explanations

    words related to economic conditions and financial markets

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic weakness and downturns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oath
    -0.83
    wiki
    -0.69
     Torah
    -0.69
     Veh
    -0.69
    NRS
    -0.66
     knowingly
    -0.65
    atography
    -0.65
     parap
    -0.64
     Dos
    -0.64
     marrow
    -0.64
    POSITIVE LOGITS
    luster
    1.11
     recession
    1.01
    flation
    0.98
     rebound
    0.92
     depreciation
    0.92
    alyst
    0.90
     deflation
    0.90
     Recession
    0.89
     slump
    0.88
     slowdown
    0.86
    Activations Density 0.260%

    No Known Activations