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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. 20540
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    Explanations

    medical terms related to specialized care units, particularly "intensive care"

    oai_token-act-pair · gpt-3.5-turbo

    references to "intensive care" or activities that are described as intensive

    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
    opp
    -0.69
    allows
    -0.68
    models
    -0.65
    udder
    -0.65
    flies
    -0.64
    posted
    -0.64
    ILLE
    -0.64
    omsky
    -0.64
    dylib
    -0.62
    aws
    -0.62
    POSITIVE LOGITS
    mble
    1.09
    ly
    1.07
     intensive
    1.05
    intensive
    0.82
    icult
    0.77
    urally
    0.76
    rontal
    0.75
    ensive
    0.74
     care
    0.73
    LY
    0.72
    Activations Density 0.009%

    No Known Activations