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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. 4187
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    Explanations

    financial or industry-related keywords and terms

    oai_token-act-pair · gpt-3.5-turbo

    specific industry-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 @ 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
     predetermined
    -0.67
     tune
    -0.66
     replay
    -0.64
     wrestler
    -0.63
    rawdownloadcloneembedreportprint
    -0.63
     primary
    -0.62
     general
    -0.62
    IRD
    -0.61
     veiled
    -0.61
     terrestrial
    -0.61
    POSITIVE LOGITS
     Solutions
    1.03
     Association
    0.97
    Works
    0.96
     Solution
    0.95
     Owners
    0.95
     Month
    0.94
     Partners
    0.93
    zilla
    0.92
     Simulator
    0.92
     Facts
    0.91
    Activations Density 0.504%

    No Known Activations