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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. 3-RES-JB
    11. 12556
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    INDEX
    Explanations

    phrases indicating a long duration of time

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of time, particularly with a focus on duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otto
    -0.84
    aceous
    -0.82
    otyp
    -0.81
    riad
    -0.76
    ramid
    -0.75
    avorite
    -0.73
    ortium
    -0.71
    erto
    -0.70
    uilt
    -0.70
    het
    -0.69
    POSITIVE LOGITS
    frames
    0.95
     ago
    0.84
    frame
    0.83
     elapsed
    0.78
     duration
    0.78
     periods
    0.77
     frame
    0.75
    zone
    0.74
     interval
    0.72
     consuming
    0.71
    Activations Density 0.063%

    No Known Activations