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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. 20717
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    Explanations

    phrases indicating the passage of time or progression of events

    oai_token-act-pair · gpt-3.5-turbo

    temporal indicators that suggest progression or sequence in events

    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
     favour
    -0.72
     encomp
    -0.68
     digest
    -0.66
    raised
    -0.61
    pron
    -0.60
    ocratic
    -0.59
     whip
    -0.59
     funnel
    -0.59
    under
    -0.59
    )",
    -0.59
    POSITIVE LOGITS
    theless
    0.90
     Ones
    0.86
     Events
    0.82
     Steps
    0.81
     Dreams
    0.80
     Ago
    0.79
     Than
    0.78
     Ways
    0.76
     Costs
    0.76
    nsic
    0.76
    Activations Density 0.054%

    No Known Activations