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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 639
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    Explanations

    the pronoun "I" at a high activation level

    oai_token-act-pair · gpt-3.5-turbo

    first-person singular pronouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rules
    -0.62
     apex
    -0.62
     excess
    -0.62
     Rapids
    -0.61
    Ħ¢
    -0.60
     Clair
    -0.60
    ses
    -0.60
     Shelby
    -0.58
     Georgetown
    -0.56
     Slav
    -0.56
    POSITIVE LOGITS
    'm
    1.35
    've
    1.18
    nex
    1.14
    EEE
    1.06
     suppose
    1.06
    'll
    1.03
    stanbul
    1.03
     dunno
    1.03
    WI
    1.02
    zzy
    0.98
    Activations Density 0.141%

    No Known Activations