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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. 1-RES-JB
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    Explanations

    descriptions of airline flights

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.68
     Izan
    -0.67
    PUT
    -0.65
    ENTION
    -0.64
    avez
    -0.63
    ãĥ¤
    -0.62
    Te
    -0.62
    laus
    -0.62
    Harris
    -0.61
     Millenn
    -0.61
    POSITIVE LOGITS
     flights
    1.37
     planes
    0.91
    pread
    0.90
     airlines
    0.89
    planes
    0.87
    plane
    0.86
    uggest
    0.85
     Flight
    0.85
     airplanes
    0.85
    walker
    0.84
    Activations Density 0.004%

    No Known Activations