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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. 1210
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    Explanations

    phrases related to mandatory requirements or regulations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "all" or phrases indicating inclusivity

    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
    potion
    -0.79
    aminer
    -0.74
    LOG
    -0.71
    iggurat
    -0.68
     nowhere
    -0.66
    robe
    -0.65
    rir
    -0.65
    rush
    -0.63
    oliath
    -0.62
    eele
    -0.62
    POSITIVE LOGITS
    ocating
    1.43
    owing
    1.26
     kinds
    1.09
    owed
    1.07
     sorts
    1.03
    ocations
    1.02
     facets
    1.01
    ocated
    1.00
    iances
    0.98
     aspects
    0.98
    Activations Density 0.106%

    No Known Activations