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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. 7-RES-JB
    6. 4514
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    Explanations

    phrases related to ethics or social issues

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.70
     Employees
    -0.58
    iny
    -0.57
    andals
    -0.56
    USS
    -0.55
    icial
    -0.55
    OME
    -0.54
    utive
    -0.54
    erv
    -0.54
    olo
    -0.52
    POSITIVE LOGITS
     regardless
    1.30
     albeit
    1.29
     irrespective
    1.27
     although
    1.12
     preferably
    1.08
     but
    1.07
     insofar
    1.06
     whereas
    1.04
     though
    1.02
     huh
    1.00
    Activations Density 0.412%

    No Known Activations