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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. 12295
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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
     Berks
    -0.73
     Willis
    -0.69
    umbnail
    -0.68
     Uz
    -0.68
     McMahon
    -0.64
     Nad
    -0.64
    aband
    -0.62
     Mub
    -0.62
     stunts
    -0.62
     Wad
    -0.62
    POSITIVE LOGITS
    cloth
    0.97
    ¯¯¯¯
    0.89
    rolet
    0.85
    ipeg
    0.81
    starter
    0.79
    minster
    0.78
    OTE
    0.78
    uthor
    0.78
    nesota
    0.77
    nown
    0.77
    Activations Density 0.095%

    No Known Activations