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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. 11-RES-JB
    11. 5193
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    Explanations

    phrases related to common occurrences or occurrences of something frequently encountered

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ceans
    -0.83
    toc
    -0.78
    enery
    -0.72
    CLASSIFIED
    -0.72
    endas
    -0.71
    aucuses
    -0.71
    htaking
    -0.71
    revolution
    -0.69
    ighters
    -0.67
    anian
    -0.66
    POSITIVE LOGITS
     denomin
    1.18
     misconception
    1.13
     occurrence
    1.07
     complaint
    1.06
    alities
    0.98
     mistake
    0.96
     misconceptions
    0.96
     culprit
    0.95
     complaints
    0.91
    cause
    0.88
    Activations Density 0.083%

    No Known Activations