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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. 11-RES-JB
    11. 1674
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    Explanations

    references to tragic events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of events and their impacts over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     later
    -0.92
    sequently
    -0.85
     beforehand
    -0.80
    later
    -0.78
     prior
    -0.76
    Eventually
    -0.75
    recent
    -0.74
     earlier
    -0.74
    then
    -0.74
     subsequently
    -0.73
    POSITIVE LOGITS
     again
    0.85
     unveiling
    0.78
    Reviewer
    0.76
     parade
    0.75
     celebrate
    0.74
    again
    0.74
     reckoning
    0.72
     commemor
    0.71
     celebrating
    0.70
     remind
    0.69
    Activations Density 0.621%

    No Known Activations