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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    GBT
    -0.80
    mable
    -0.72
    ãĤ§
    -0.69
    Pic
    -0.66
    å¸
    -0.66
    76561
    -0.65
     Neigh
    -0.63
    toggle
    -0.62
     Bie
    -0.62
     Kardash
    -0.62
    POSITIVE LOGITS
     briefs
    0.83
    iffs
    0.82
     charging
    0.77
    orney
    0.75
    sup
    0.75
     defendant
    0.75
     libel
    0.74
     plaintiff
    0.74
     upholding
    0.74
     suing
    0.72
    Activations Density 0.148%

    No Known Activations