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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20706
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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
    Not in Any Lists

    No Comments

    Negative Logits
     lapse
    -0.89
     condem
    -0.80
     pressures
    -0.79
     conduc
    -0.76
     limb
    -0.72
     assum
    -0.72
     draw
    -0.71
     dismiss
    -0.71
     frust
    -0.71
     ways
    -0.71
    POSITIVE LOGITS
    ï¸ı
    1.18
    Operation
    1.11
    cffffcc
    1.05
    É
    1.01
    _>
    1.00
    STAR
    1.00
    Torrent
    0.99
    ×Ķ
    0.95
    $
    0.93
    mega
    0.93
    Activations Density 0.171%

    No Known Activations