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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. 8-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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ulhu
    -0.73
    shit
    -0.71
    GMT
    -0.70
    Cola
    -0.70
    mal
    -0.68
    Ultra
    -0.68
    vasive
    -0.67
    kHz
    -0.67
    itatively
    -0.65
     Beam
    -0.64
    POSITIVE LOGITS
     caregivers
    0.95
     friends
    0.90
     kins
    0.87
     familial
    0.85
     careg
    0.84
     elders
    0.84
     belongings
    0.81
     relatives
    0.80
     heirs
    0.79
    members
    0.79
    Activations Density 0.256%

    No Known Activations