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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. 2-RES-JB
    6. 20471
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    historical references or significant events

    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
    minimum
    -0.68
    een
    -0.68
     Alic
    -0.65
    shr
    -0.64
    uti
    -0.63
    cakes
    -0.63
     advoc
    -0.63
    estyles
    -0.62
    specific
    -0.62
    ãĤ¢ãĥ«
    -0.61
    POSITIVE LOGITS
    oat
    0.70
    avascript
    0.61
    oqu
    0.61
    otion
    0.60
    lyak
    0.59
     dilemma
    0.58
    unction
    0.58
    hetamine
    0.57
    ogging
    0.57
    ication
    0.57
    Activations Density 0.000%

    No Known Activations