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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. 2-RES-JB
    6. 4345
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    Explanations

    individuals or groups associated with specific characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    the word "whose" in various contexts relating to possession or attribution

    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
    ³³³³
    -0.75
    PL
    -0.73
     Yep
    -0.71
    leaf
    -0.71
    170
    -0.68
    let
    -0.67
    UG
    -0.67
     Checking
    -0.67
    MER
    -0.67
     Nope
    -0.67
    POSITIVE LOGITS
    soever
    1.18
     own
    1.00
     ancestors
    0.84
     deepest
    0.83
     courage
    0.79
    irlf
    0.79
     sanity
    0.76
     sole
    0.75
    ibling
    0.74
     individuality
    0.73
    Activations Density 0.011%

    No Known Activations