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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. 19002
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    Explanations

    phrases related to growth or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of growth or increase

    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
    soDeliveryDate
    -0.76
     Hague
    -0.69
    hov
    -0.69
    plain
    -0.65
    ãĥīãĥ©
    -0.64
    PASS
    -0.64
    hol
    -0.64
    blank
    -0.62
    osuke
    -0.62
    ©¶æ
    -0.62
    POSITIVE LOGITS
     leaps
    0.88
     stature
    0.82
     exponentially
    0.78
    ãĤ¼ãĤ¦ãĤ¹
    0.71
    ustomed
    0.66
     accustomed
    0.65
     Strongh
    0.65
     maturity
    0.63
     renown
    0.63
     Slowly
    0.63
    Activations Density 0.201%

    No Known Activations