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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. 9-RES-JB
    11. 14009
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    Explanations

    dates, events, and actions referenced in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time frames or durations related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     persever
    -0.72
    reau
    -0.70
     backwards
    -0.70
    ween
    -0.69
    Õ
    -0.68
    complex
    -0.65
    gae
    -0.65
     backward
    -0.65
    ply
    -0.64
    pora
    -0.64
    POSITIVE LOGITS
     landfall
    0.94
     arrival
    0.94
     inception
    0.93
     onset
    0.88
     inauguration
    0.87
     publication
    0.85
     scheduled
    0.84
     fateful
    0.84
     announcement
    0.84
     deadline
    0.84
    Activations Density 0.257%

    No Known Activations