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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
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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
     Stro
    -0.76
     Cannes
    -0.75
    umar
    -0.74
     Hob
    -0.72
     Wim
    -0.70
     Chop
    -0.70
    ofi
    -0.69
    Rated
    -0.68
    sg
    -0.68
     Edinburgh
    -0.67
    POSITIVE LOGITS
     caches
    0.84
     dumps
    0.81
     helic
    0.77
    chnology
    0.76
     server
    0.74
    mind
    0.74
     overloaded
    0.74
     passwords
    0.73
     leaks
    0.73
    itage
    0.72
    Activations Density 0.012%

    No Known Activations