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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 21594
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    Explanations

    names of individuals, specifically the name "Andrew"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Andrew"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     odor
    -0.75
    QL
    -0.71
     discriminated
    -0.69
     shelters
    -0.66
     dat
    -0.65
     pup
    -0.64
     TAMADRA
    -0.62
    entimes
    -0.62
     differed
    -0.61
    ura
    -0.61
    POSITIVE LOGITS
     Andrew
    3.30
    Andrew
    2.69
     Andrews
    1.62
     Andy
    1.58
     Matthew
    1.55
     Anthony
    1.54
     Nathan
    1.50
    Andy
    1.45
     Aaron
    1.45
     Alex
    1.42
    Activations Density 0.020%

    No Known Activations