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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. 7-RES-JB
    11. 23568
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    Explanations

    financial and economic terms

    oai_token-act-pair · gpt-3.5-turbo

    economic and market-related terms and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.67
    cknow
    -0.65
    ĪĴ
    -0.65
     blat
    -0.59
     eleph
    -0.57
    éĥ
    -0.56
    é¾įå¥ij士
    -0.54
     occas
    -0.53
    ADA
    -0.52
     predec
    -0.52
    POSITIVE LOGITS
    lee
    0.58
     internationally
    0.56
     exponentially
    0.56
    .<
    0.56
    lees
    0.55
     dearly
    0.55
    ynes
    0.55
    wide
    0.54
     closer
    0.53
     prematurely
    0.52
    Activations Density 0.688%

    No Known Activations