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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. 12114
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    Explanations

    words related to time, specifically being late or early for events

    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
    çīĪ
    -0.74
    İĭ
    -0.70
    arov
    -0.69
    orius
    -0.69
    Dash
    -0.65
    avering
    -0.63
    illary
    -0.63
    alion
    -0.61
    sov
    -0.61
    odan
    -0.61
    POSITIVE LOGITS
     enough
    0.98
    aneously
    0.90
     mornings
    0.77
     due
    0.75
     because
    0.72
     (<
    0.71
     morning
    0.70
    est
    0.67
    due
    0.67
     prey
    0.67
    Activations Density 0.049%

    No Known Activations