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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    terms related to kernels, particularly in the context of food or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to "kernels" in various contexts, particularly related to computing or food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sing
    -0.78
    rian
    -0.73
    tions
    -0.71
    rences
    -0.71
    liest
    -0.68
     Hoover
    -0.67
     Brun
    -0.67
    owler
    -0.65
    encers
    -0.65
    hire
    -0.64
    POSITIVE LOGITS
     kernel
    1.19
    kernel
    1.05
     Kernel
    1.04
     kernels
    0.95
    overs
    0.74
    izer
    0.70
     sshd
    0.69
     marsh
    0.68
     firmware
    0.67
    acs
    0.67
    Activations Density 0.011%

    No Known Activations