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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. 6-RES-JB
    11. 20233
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     blender
    -0.69
     travel
    -0.67
     tram
    -0.65
     barrier
    -0.63
     dispers
    -0.62
     transfer
    -0.61
     recording
    -0.60
     decomp
    -0.59
     hob
    -0.59
     divers
    -0.59
    POSITIVE LOGITS
    ħ
    0.96
    ership
    0.94
    alone
    0.92
    ¬
    0.91
    thouse
    0.87
    tor
    0.87
    ı
    0.87
    Ĵ
    0.86
    ¹
    0.86
    ¡
    0.85
    Activations Density 0.223%

    No Known Activations