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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. 9-RES-JB
    6. 20466
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'R' followed by the number 2, indicating it is looking for references to R2

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cart
    -0.69
     Pose
    -0.65
    terson
    -0.64
     Schumer
    -0.64
     regards
    -0.63
     pear
    -0.62
     vein
    -0.61
     yours
    -0.61
    grass
    -0.61
     CPR
    -0.61
    POSITIVE LOGITS
    ansom
    1.43
    haps
    1.36
    otten
    1.35
    outine
    1.32
    itchie
    1.31
    ascal
    1.26
    ifles
    1.21
    uling
    1.20
    otation
    1.18
    ework
    1.17
    Activations Density 0.044%

    No Known Activations