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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. 21014
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    Explanations

    phrases related to the concept of units, such as "discrete units," "storage units," and "processing units."

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or measures of items

    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
    çīĪ
    -0.76
    vous
    -0.76
    bda
    -0.71
     Sloan
    -0.70
    é»Ĵ
    -0.70
     Shack
    -0.66
    romeda
    -0.66
    leneck
    -0.64
    gian
    -0.64
    bone
    -0.64
    POSITIVE LOGITS
    imet
    1.01
     units
    0.91
    mate
    0.84
    rity
    0.82
    matically
    0.81
    mates
    0.80
    iations
    0.79
     unit
    0.79
    units
    0.77
    iates
    0.75
    Activations Density 0.011%

    No Known Activations