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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. 7-RES-JB
    6. 16894
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    Explanations

    numbers related to quantity or amount

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a duration or quantity of time that is more than a specified amount

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oker
    -0.63
    illary
    -0.62
    UE
    -0.61
    oke
    -0.59
     Authors
    -0.58
    女
    -0.58
    BILITY
    -0.58
    ORY
    -0.58
    iva
    -0.57
    ivia
    -0.57
    POSITIVE LOGITS
    hang
    1.14
    drive
    1.03
    tones
    1.00
    comes
    0.99
    stay
    0.97
    whelming
    0.97
    lord
    0.96
    flow
    0.95
    clock
    0.94
    loading
    0.94
    Activations Density 0.080%

    No Known Activations