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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. 7-RES-JB
    11. 13622
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    oai_token-act-pair · gpt-3.5-turbo

    date and time references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Canaver
    -0.69
     Gaul
    -0.65
     purs
    -0.63
     Cantor
    -0.63
     Sessions
    -0.61
    ctors
    -0.61
     DRAG
    -0.59
     Colossus
    -0.59
     Pharmac
    -0.58
     adversaries
    -0.58
    POSITIVE LOGITS
    eri
    0.72
    arity
    0.70
    姫
    0.70
    Submit
    0.66
    EStreamFrame
    0.65
    attery
    0.64
    Nice
    0.64
    nv
    0.62
    oj
    0.62
    ð
    0.61
    Activations Density 0.095%

    No Known Activations