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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. 10-RES-JB
    6. 4129
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    Explanations

    phrases related to lists or series of items

    oai_token-act-pair · gpt-3.5-turbo
    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
    aped
    -0.70
    imates
    -0.65
    MpServer
    -0.64
    xual
    -0.64
    imation
    -0.63
    azeera
    -0.56
    ishi
    -0.54
     advisory
    -0.54
    semb
    -0.54
    avid
    -0.54
    POSITIVE LOGITS
    Secondly
    2.43
     Secondly
    2.40
     secondly
    2.29
    Second
    2.20
     Second
    2.06
    second
    1.90
     second
    1.86
    Next
    1.28
     Next
    1.18
     Then
    1.18
    Activations Density 0.211%

    No Known Activations