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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. 22889
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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 @ 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
    rang
    -0.68
    orph
    -0.65
    bel
    -0.64
    opl
    -0.61
    uka
    -0.60
    anes
    -0.59
    cu
    -0.58
    pires
    -0.57
    pac
    -0.57
    matter
    -0.57
    POSITIVE LOGITS
     firsthand
    0.90
     plenty
    0.79
     HERE
    0.77
     detailed
    0.77
     them
    0.74
     more
    0.74
     screenshots
    0.73
     excerpts
    0.71
     fuller
    0.71
     details
    0.71
    Activations Density 0.110%

    No Known Activations