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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. 3-RES-JB
    11. 13516
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    text related to programming arguments and functions

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to programming parameters and arguments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tumblr
    -0.90
    Bench
    -0.80
    mbuds
    -0.79
    ilers
    -0.76
    phis
    -0.75
    indust
    -0.75
    bench
    -0.73
    hra
    -0.71
    Ò
    -0.71
    Vision
    -0.70
    POSITIVE LOGITS
     args
    0.91
     names
    0.88
     handler
    0.83
     NULL
    0.81
     specified
    0.80
     descriptor
    0.75
    Override
    0.74
     param
    0.73
     passed
    0.73
     name
    0.73
    Activations Density 0.052%

    No Known Activations