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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. 8923
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    Explanations

    phrases related to meeting or exceeding expectations

    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
    etsk
    -0.72
    asus
    -0.63
    krit
    -0.58
    Cu
    -0.56
    furt
    -0.54
     Lack
    -0.54
     Kahn
    -0.53
    avage
    -0.52
    mes
    -0.51
     camps
    -0.51
    POSITIVE LOGITS
     to
    0.91
     thereto
    0.80
    endra
    0.76
    sell
    0.72
    votes
    0.72
    graded
    0.72
    grades
    0.69
    cycl
    0.67
    ended
    0.65
    dates
    0.64
    Activations Density 0.035%

    No Known Activations