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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. 6-RES-JB
    6. 21542
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    INDEX
    Explanations

    phrases related to monetary values and budgeting

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a significant quantity or amount over a period of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illary
    -0.82
    oker
    -0.67
    STAR
    -0.66
    YA
    -0.64
    KE
    -0.64
    UE
    -0.64
    ****************
    -0.62
    Motion
    -0.61
    MSN
    -0.61
    SB
    -0.60
    POSITIVE LOGITS
    hang
    1.09
    loading
    0.99
    whelming
    0.98
    lord
    0.98
    drive
    0.97
    clock
    0.97
    tones
    0.96
    payment
    0.94
    population
    0.94
    haul
    0.92
    Activations Density 0.078%

    No Known Activations