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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. 9-RES-JB
    6. 8177
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    Explanations

    phrases indicating a continuation or transition in speech or writing, often introducing new information or emphasizing a point

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DISTR
    -0.76
     CPR
    -0.59
     Mobil
    -0.59
     pulp
    -0.58
     bluff
    -0.58
     shack
    -0.58
     Mirage
    -0.57
     RAD
    -0.57
     Monkey
    -0.57
     Monroe
    -0.57
    POSITIVE LOGITS
    Pg
    0.86
    ttp
    0.79
    s
    0.79
    shall
    0.77
    aternity
    0.77
    ould
    0.76
    ept
    0.75
    ¼
    0.74
    else
    0.73
    ı
    0.72
    Activations Density 0.137%

    No Known Activations