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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. 0-RES-JB
    11. 4139
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    Explanations

    references to specific durations of time in hours

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time, particularly in hours

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AGA
    -0.69
     stabil
    -0.65
     gener
    -0.65
     prob
    -0.63
     neutral
    -0.63
     Native
    -0.61
     666
    -0.60
     general
    -0.60
     dece
    -0.59
     backwards
    -0.58
    POSITIVE LOGITS
    hour
    3.77
    Hour
    2.51
    hours
    2.39
     hour
    2.34
     Hour
    2.06
    minute
    1.84
     hours
    1.76
    Hours
    1.73
     Hours
    1.73
    day
    1.59
    Activations Density 0.008%

    No Known Activations