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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12548
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    INDEX
    Explanations

    specific numerical figures along with their associated words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods and their duration in descriptions of events or projects

    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
    isky
    -0.67
     TEAM
    -0.67
    oided
    -0.66
    ifa
    -0.64
    zos
    -0.63
    raid
    -0.62
    estern
    -0.61
    GROUP
    -0.61
    atti
    -0.60
     Interview
    -0.60
    POSITIVE LOGITS
     relevance
    1.05
     significance
    1.01
     validity
    1.00
     existed
    0.98
     usefulness
    0.93
     exist
    0.90
     occurring
    0.90
     meaning
    0.89
     effectiveness
    0.88
     origin
    0.88
    Activations Density 0.859%

    No Known Activations