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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21202
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    Explanations

    phrases related to connections and relationships between people or entities

    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     swell
    -0.80
     square
    -0.78
     lifetime
    -0.78
     densely
    -0.77
     sincerely
    -0.75
     Chao
    -0.74
     younger
    -0.74
     mate
    -0.73
     leaflets
    -0.73
     breed
    -0.73
    POSITIVE LOGITS
    whatever
    1.67
    etc
    1.67
    dist
    1.46
    coll
    1.46
    trans
    1.45
    tem
    1.44
    super
    1.42
    non
    1.40
    control
    1.40
    workshop
    1.40
    Activations Density 0.052%

    No Known Activations