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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. 3-RES-JB
    6. 935
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    INDEX
    Explanations

    phrases emphasizing completeness or totality

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "all" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aminer
    -0.69
     Kamp
    -0.69
    IDS
    -0.67
    fman
    -0.64
    SHIP
    -0.63
    lav
    -0.62
    nom
    -0.60
    grad
    -0.59
    cheon
    -0.59
    abwe
    -0.59
    POSITIVE LOGITS
    ocating
    1.16
    igator
    1.06
     kinds
    1.04
    igators
    1.02
     sorts
    1.02
    iances
    0.99
    owing
    0.97
    udes
    0.96
    ocated
    0.93
    uding
    0.93
    Activations Density 0.168%

    No Known Activations