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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. 2649
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    oai_token-act-pair · gpt-3.5-turbo

    specific details or terminologies related to measurement or statistical data

    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
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    Negative Logits
    annabin
    -0.65
     PID
    -0.65
     Siren
    -0.64
     Logged
    -0.61
     Terminator
    -0.57
     Transformers
    -0.57
     Wah
    -0.56
     Nightmares
    -0.56
     resil
    -0.55
     Aven
    -0.53
    POSITIVE LOGITS
    trak
    0.78
    again
    0.75
    ngth
    0.73
    same
    0.69
    rising
    0.68
    adobe
    0.68
    outhern
    0.66
    wright
    0.65
     PLUS
    0.64
    erity
    0.64
    Activations Density 0.944%

    No Known Activations