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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. 6-RES-JB
    6. 24160
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    Explanations

    phrases related to statements or declarations

    oai_token-act-pair · gpt-3.5-turbo

    the character "Ļ"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undown
    -0.67
     CLR
    -0.62
     Palestin
    -0.61
     charisma
    -0.60
     Kindle
    -0.60
     Morse
    -0.59
     paperback
    -0.59
     multiplication
    -0.59
     Rez
    -0.59
     unbeliev
    -0.58
    POSITIVE LOGITS
    ï¸ı
    0.96
    together
    0.92
    agree
    0.91
    selves
    0.89
    yg
    0.85
    east
    0.83
    ··
    0.81
    sure
    0.81
    mand
    0.80
    else
    0.77
    Activations Density 0.131%

    No Known Activations