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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. 22503
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    INDEX
    Explanations

    the concept of "normal" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to normalcy or standard expectations

    oai_token-act-pair · gpt-3.5-turbo
    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
    NRS
    -0.82
    Spot
    -0.79
    Lens
    -0.78
    Drug
    -0.74
    Produ
    -0.74
    Stars
    -0.74
    haw
    -0.73
    è¦
    -0.73
    iosyncr
    -0.72
    asso
    -0.70
    POSITIVE LOGITS
    isation
    1.13
    ization
    1.08
    cy
    1.06
    izes
    1.02
    izing
    1.01
    ised
    0.99
    ize
    0.95
    ises
    0.93
     sized
    0.93
    izations
    0.91
    Activations Density 0.014%

    No Known Activations