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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. 1278
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    INDEX
    Explanations

    future events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    inquiries about future outcomes or events

    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
    AFTA
    -0.71
    arest
    -0.69
    stated
    -0.66
    riter
    -0.66
    EMBER
    -0.66
    IFT
    -0.65
    =$
    -0.65
    essential
    -0.63
    GV
    -0.62
    itled
    -0.62
    POSITIVE LOGITS
     happens
    1.11
     unfolds
    0.98
     develops
    0.92
     evolves
    0.77
     else
    0.72
     reactions
    0.71
     reaction
    0.71
     shenanigans
    0.71
     pops
    0.70
     pans
    0.69
    Activations Density 0.106%

    No Known Activations