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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. 23002
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    Explanations

    phrases related to conversations or statements made by characters in a narrative

    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
     practition
    -0.88
    Ident
    -0.87
    ãĤ´
    -0.83
     exting
    -0.83
     pione
    -0.82
    Virgin
    -0.80
    inki
    -0.78
     entreprene
    -0.78
     locom
    -0.78
     undermin
    -0.76
    POSITIVE LOGITS
     Dawson
    1.18
     Bryant
    1.15
     Carpenter
    1.15
     Romo
    1.13
     Crawford
    1.12
     Pryor
    1.11
     Chamberlain
    1.11
     McKay
    1.10
     Hernandez
    1.09
     Cunningham
    1.06
    Activations Density 0.501%

    No Known Activations