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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. 1659
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    Explanations

    references to contributing towards making something a reality

    oai_token-act-pair · gpt-3.5-turbo

    references to events and contributions that positively impact a community or cause

    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
    76561
    -0.87
     blaming
    -0.72
     accusing
    -0.72
     inability
    -0.71
     inexper
    -0.71
     accuses
    -0.71
     pse
    -0.70
     Fenrir
    -0.69
     probing
    -0.68
     suspects
    -0.68
    POSITIVE LOGITS
     happen
    0.98
     sustainable
    0.97
     reality
    0.87
     succeed
    0.87
     accessible
    0.86
     brighter
    0.85
     thrive
    0.85
     flourish
    0.85
     inclusive
    0.84
    reality
    0.83
    Activations Density 0.407%

    No Known Activations