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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 1020
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    oai_token-act-pair · gpt-3.5-turbo

    words related to plants and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akura
    -0.71
    iliary
    -0.65
     entitle
    -0.60
     latch
    -0.57
    icals
    -0.57
     Shutterstock
    -0.56
     accommodation
    -0.55
     exploits
    -0.55
     rapt
    -0.55
     guiActiveUnfocused
    -0.54
    POSITIVE LOGITS
    steen
    1.05
    ãĤ¶
    0.76
    ãĤ¼ãĤ¦ãĤ¹
    0.75
     Canaver
    0.74
    ãĤ¨ãĥ«
    0.74
    ãĥł
    0.70
    HF
    0.70
    Parameter
    0.69
    esi
    0.68
    eta
    0.67
    Activations Density 0.195%

    No Known Activations