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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. 11382
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    INDEX
    Explanations

    the word "flat" with different contexts like physical attributes, conditions, and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of flatness

    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
    EMENT
    -0.93
    IVERS
    -0.92
    GBT
    -0.85
    CRIP
    -0.80
    emonic
    -0.79
     appropri
    -0.77
    externalActionCode
    -0.75
     ANGEL
    -0.73
     Ago
    -0.72
    Æ
    -0.72
    POSITIVE LOGITS
    tered
    1.17
    bed
    1.16
    lining
    1.05
    bread
    1.04
    lined
    1.02
    ulent
    0.99
    tering
    0.97
    ulence
    0.97
    ric
    0.96
    stairs
    0.93
    Activations Density 0.019%

    No Known Activations