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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. 20925
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    Explanations

    words related to legal terms and educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to fictional characters and narratives

    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
     Versus
    -0.49
     revisions
    -0.47
     proactive
    -0.46
     withdrawals
    -0.46
     Tunnel
    -0.45
     disruptive
    -0.45
     unilateral
    -0.44
     Collider
    -0.44
     interim
    -0.44
     inaction
    -0.44
    POSITIVE LOGITS
    onica
    0.59
    berries
    0.53
    uca
    0.48
    imedia
    0.48
    itives
    0.48
    forts
    0.47
     herself
    0.47
    iae
    0.47
    yt
    0.47
    amate
    0.47
    Activations Density 1.637%

    No Known Activations