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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. 4-RES-JB
    11. 1561
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    oai_token-act-pair · gpt-3.5-turbo

    references to specific products or technological features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    PF
    -0.78
    STEM
    -0.77
    igham
    -0.74
    RIC
    -0.72
    vic
    -0.70
    Deploy
    -0.70
    CLE
    -0.68
    inas
    -0.68
    Mass
    -0.67
    atile
    -0.66
    POSITIVE LOGITS
     Tide
    0.80
    runs
    0.69
    puff
    0.66
    steen
    0.66
    erers
    0.65
    zzy
    0.65
     shuffle
    0.64
     sides
    0.63
     herd
    0.62
     sofa
    0.62
    Activations Density 0.126%

    No Known Activations