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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. 4-RES-JB
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    Explanations

    words related to technology, particularly embedded systems and devices

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "embedded"

    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
    neg
    -0.83
    ãĥ£
    -0.80
    externalActionCode
    -0.71
     Sabha
    -0.70
    hma
    -0.69
    ahu
    -0.68
    §
    -0.68
    kers
    -0.68
     Weasley
    -0.67
    boat
    -0.67
    POSITIVE LOGITS
     embedded
    1.15
    edded
    0.92
    ocument
    0.87
     embed
    0.87
    indal
    0.77
    embed
    0.77
    iated
    0.76
    odied
    0.75
     multimedia
    0.73
     blogging
    0.73
    Activations Density 0.016%

    No Known Activations