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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. 4120
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    Explanations

    phrases related to challenging situations or tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express difficulty or challenges in various contexts

    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
    ellig
    -0.71
    ucer
    -0.70
    apor
    -0.69
    haar
    -0.68
    ificantly
    -0.68
    AZ
    -0.68
    ctuary
    -0.67
    ledged
    -0.67
    apons
    -0.66
    çīĪ
    -0.66
    POSITIVE LOGITS
     slog
    0.83
     navigating
    0.79
     navigate
    0.79
     childbirth
    0.78
     digestion
    0.75
     uphill
    0.72
     ardu
    0.71
     juggling
    0.71
     figuring
    0.70
     upkeep
    0.69
    Activations Density 0.390%

    No Known Activations