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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. 10-RES-JB
    11. 9249
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    Explanations

    text related to technical instructions or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "the" and its context in technical specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etime
    -0.81
    nil
    -0.79
    FFFF
    -0.78
    Tier
    -0.72
    Uncommon
    -0.72
    iably
    -0.72
    those
    -0.71
    onyms
    -0.71
    chance
    -0.70
    Õ
    -0.70
    POSITIVE LOGITS
     device
    1.26
     unit
    1.07
     appliance
    1.03
     machine
    1.02
     product
    1.01
     installation
    1.01
     vehicle
    1.00
     vessel
    1.00
     enclosure
    0.99
     robot
    0.99
    Activations Density 0.349%

    No Known Activations