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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. 4-RES-JB
    6. 17771
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    Explanations

    phrases related to distribution or distributed systems

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Distribution" and its variations

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

    No Comments

    Negative Logits
    glers
    -1.26
    swick
    -1.06
    tes
    -0.89
    ppo
    -0.84
    terday
    -0.81
    uberty
    -0.76
    gery
    -0.75
    ENA
    -0.74
    ocene
    -0.71
    TAIN
    -0.70
    POSITIVE LOGITS
    ribut
    1.37
    ributed
    1.30
    ribution
    1.18
    inguished
    1.18
    ribute
    1.14
    illery
    1.12
    inctions
    1.01
    ortion
    1.00
    inct
    0.99
    enfranch
    0.98
    Activations Density 0.005%

    No Known Activations