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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. 12824
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    INDEX
    Explanations

    phrases indicating the passage of a considerable amount of time

    oai_token-act-pair · gpt-3.5-turbo

    mentions of duration or the passage of time

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    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
    Negative Logits
    osite
    -0.79
    Thirty
    -0.73
    appropriately
    -0.67
    isively
    -0.65
    onse
    -0.64
    ongyang
    -0.64
    ooter
    -0.63
    arity
    -0.63
    doi
    -0.61
    rones
    -0.61
    POSITIVE LOGITS
     ago
    1.18
     Ago
    0.83
     periods
    0.81
     period
    0.77
     frame
    0.74
     awaited
    0.73
     horizon
    0.73
     coming
    0.72
    frames
    0.71
     capsule
    0.68
    Activations Density 0.066%

    No Known Activations