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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. 4656
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    Explanations

    adverbs ending in 'ly'

    oai_token-act-pair · gpt-3.5-turbo

    words ending in "ly."

    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
    ilater
    -0.83
    senal
    -0.75
     hemor
    -0.71
     respectively
    -0.70
    afety
    -0.70
     comprom
    -0.65
    ERA
    -0.65
    itivity
    -0.65
     corrective
    -0.64
     Annotations
    -0.64
    POSITIVE LOGITS
    rics
    0.98
    ffe
    0.88
    zed
    0.88
    puff
    0.88
    sis
    0.82
    upe
    0.81
    tics
    0.81
    pha
    0.79
    waters
    0.77
    clad
    0.76
    Activations Density 0.029%

    No Known Activations