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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. 11444
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    Explanations

    terms related to medical procedures or conditions

    oai_token-act-pair · gpt-3.5-turbo

    specific endings and segments of words often related to descriptors or classifications

    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
     rusty
    -0.76
     glim
    -0.70
     hypers
    -0.63
     schooling
    -0.60
     unchecked
    -0.60
     Fenrir
    -0.60
     spotting
    -0.59
    éĹ
    -0.59
     downhill
    -0.58
    BuyableInstoreAndOnline
    -0.57
    POSITIVE LOGITS
    dule
    0.78
    士
    0.77
    ctive
    0.75
    ruct
    0.74
    amation
    0.74
    ption
    0.72
    agement
    0.71
    mination
    0.71
    TOP
    0.70
    ember
    0.70
    Activations Density 0.046%

    No Known Activations