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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. 9-RES-JB
    11. 5186
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    Explanations

    phrases indicating strong opinions or beliefs

    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
    por
    -0.65
    urations
    -0.62
    lot
    -0.61
    ature
    -0.61
     nominating
    -0.60
    uto
    -0.60
    istically
    -0.60
    enberg
    -0.58
    etts
    -0.57
    izen
    -0.56
    POSITIVE LOGITS
     happened
    1.42
     transpired
    1.37
     happens
    1.29
    soever
    1.28
     occurred
    0.95
     constitutes
    0.91
     unfolds
    0.91
     else
    0.89
     awaits
    0.88
     occurs
    0.86
    Activations Density 0.093%

    No Known Activations