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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. 5-RES-JB
    6. 17956
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    Explanations

    phrases related to the name "Benjamin" which is a clue to its behavior, probably focusing on specific texts that mention the name "Benjamin"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Benjamin" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.90
    Reviewer
    -0.88
    uid
    -0.83
    atics
    -0.82
    atically
    -0.80
    monary
    -0.76
    ticket
    -0.75
    TOR
    -0.74
    govtrack
    -0.74
    atic
    -0.73
    POSITIVE LOGITS
    jamin
    1.39
     Netanyahu
    1.17
     Franklin
    1.15
     Benjamin
    0.93
     Centauri
    0.86
     Witt
    0.83
    itude
    0.79
     Tucker
    0.76
    heimer
    0.75
     Harrison
    0.74
    Activations Density 0.005%

    No Known Activations