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

    the adjective "ordinary."

    oai_token-act-pair · gpt-4-turbo

    instances of the word 'ordinary'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ordinary."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    haw
    -0.67
    hop
    -0.65
    lez
    -0.64
    Stars
    -0.64
    AIDS
    -0.64
    Recomm
    -0.62
    Sov
    -0.61
    Wa
    -0.61
    alez
    -0.60
    OTH
    -0.60
    POSITIVE LOGITS
    ordinary
    1.14
     ordinary
    1.07
     mortals
    1.01
     sized
    0.80
    worldly
    0.78
     mortal
    0.76
     everyday
    0.76
     weekday
    0.75
     folk
    0.73
     human
    0.72
    Activations Density 0.006%

    No Known Activations