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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. 6-RES-JB
    11. 7940
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    Explanations

    time-related phrases or durations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote specific time periods or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActive
    -0.85
    alty
    -0.81
    alties
    -0.77
    ply
    -0.77
     sqor
    -0.75
    deck
    -0.75
    tical
    -0.72
    helle
    -0.70
    eus
    -0.68
    yss
    -0.67
    POSITIVE LOGITS
     downtime
    0.88
     periods
    0.87
     stagnation
    0.86
     uninterrupted
    0.83
     probation
    0.80
     hiatus
    0.78
     incarceration
    0.77
     silence
    0.76
     instability
    0.75
     delay
    0.75
    Activations Density 0.077%

    No Known Activations