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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. 9-RES-JB
    6. 14961
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    Explanations

    quantitative measurements of quantity or frequency

    oai_token-act-pair · gpt-3.5-turbo

    expressions of numerical rates or measurements over a specific period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hess
    -0.88
    anamo
    -0.75
    ITED
    -0.74
     Fargo
    -0.66
    ä¹ĭ
    -0.66
    ANC
    -0.66
    soDeliveryDate
    -0.65
    arden
    -0.64
    avascript
    -0.64
    çīĪ
    -0.64
    POSITIVE LOGITS
     capita
    1.47
    tains
    1.29
    malink
    1.07
     person
    1.05
     hour
    1.05
     month
    1.01
    tained
    0.99
     acre
    0.96
    ishable
    0.96
     year
    0.95
    Activations Density 0.033%

    No Known Activations