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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. 8-RES-JB
    11. 8265
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    oai_token-act-pair · gpt-3.5-turbo

    specific timestamps and numerical data in a chronological format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulet
    -0.75
     endors
    -0.64
     pse
    -0.61
     prosec
    -0.60
    bable
    -0.60
    foundland
    -0.59
     prolifer
    -0.58
     nodd
    -0.58
    anship
    -0.57
     unaff
    -0.57
    POSITIVE LOGITS
     IST
    0.94
    PM
    0.93
     PDT
    0.91
     pm
    0.90
     UTC
    0.88
     GMT
    0.87
    pm
    0.86
    GMT
    0.84
     CET
    0.84
     PM
    0.79
    Activations Density 0.029%

    No Known Activations