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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to the brand "Nestlé"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific brand named "Nestlé."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĦ
    -0.78
    ++++++++++++++++
    -0.78
    istically
    -0.76
    ा
    -0.69
    WAYS
    -0.69
     JFK
    -0.65
    physical
    -0.63
     ACTIONS
    -0.63
    plane
    -0.63
     PUBLIC
    -0.62
    POSITIVE LOGITS
    lé
    1.14
     Nest
    1.13
    orius
    0.95
    eus
    0.90
    arus
    0.89
    hes
    0.84
    ea
    0.83
    otle
    0.83
    opia
    0.83
    zen
    0.82
    Activations Density 0.005%

    No Known Activations