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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. 5191
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    Explanations

    phrases related to comparisons or evaluations

    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
    incinn
    -0.70
    orically
    -0.68
    avorite
    -0.64
    tnc
    -0.63
    respective
    -0.60
     srf
    -0.59
    inity
    -0.59
    avascript
    -0.59
    ories
    -0.59
     earthqu
    -0.59
    POSITIVE LOGITS
    hots
    0.93
     Hundred
    0.90
    alian
    0.87
     hundred
    0.85
    idas
    0.81
    esan
    0.78
     sided
    0.77
    itis
    0.76
     dimensional
    0.75
     handed
    0.71
    Activations Density 0.054%

    No Known Activations