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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 271
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    Explanations

    terms related to receiving or being the recipient of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "received."

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

    No Comments

    Negative Logits
    fall
    -0.68
     Quantity
    -0.61
     Abyssal
    -0.57
    Ed
    -0.56
    flation
    -0.55
    isting
    -0.55
    rev
    -0.54
     fallacy
    -0.53
     Evil
    -0.53
     Destroyer
    -0.53
    POSITIVE LOGITS
    dinand
    0.89
    terson
    0.82
    DragonMagazine
    0.79
    imental
    0.76
    namese
    0.75
    å¼
    0.74
    ILY
    0.73
    sbm
    0.72
    DAQ
    0.70
    soever
    0.68
    Activations Density 0.031%

    No Known Activations