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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. 8423
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    Explanations

    mentions of energy sources and related technologies

    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
    ãĥĥãĥī
    -0.73
    pload
    -0.70
    Ire
    -0.66
    ãĥĥ
    -0.66
    Lear
    -0.65
    acly
    -0.63
    ãĥ¯ãĥ³
    -0.62
     Pengu
    -0.62
    æ©
    -0.62
    eday
    -0.62
    POSITIVE LOGITS
    ¶
    0.87
     (%)
    0.80
     ($)
    0.71
     âĢº
    0.70
     comprises
    0.67
    ↵
    0.67
    ↵↵
    0.66
     shall
    0.64
     stimulates
    0.63
     varies
    0.63
    Activations Density 0.468%

    No Known Activations