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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "ahan"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the name "Kahanan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Asc
    -0.68
     Squ
    -0.67
     Clive
    -0.66
     rese
    -0.64
     tune
    -0.61
     tamp
    -0.60
     tears
    -0.60
     asc
    -0.60
     foot
    -0.60
     tooth
    -0.58
    POSITIVE LOGITS
    ahan
    4.86
    aghan
    1.97
    ahon
    1.58
    agher
    1.41
    aday
    1.39
    ivan
    1.35
    ohan
    1.29
    igan
    1.23
    agh
    1.21
    agan
    1.16
    Activations Density 0.014%

    No Known Activations