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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. 14940
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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
    Not in Any Lists

    No Comments

    Negative Logits
     mur
    -0.62
     monop
    -0.57
    etsu
    -0.55
     footing
    -0.54
    ikuman
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    ude
    -0.54
     vag
    -0.53
     uncom
    -0.53
     angle
    -0.52
    ãĤ´
    -0.51
    POSITIVE LOGITS
     Additionally
    1.11
     Needless
    1.05
     Moreover
    1.04
     Furthermore
    1.04
     Similarly
    1.01
     Alternatively
    1.01
     Ultimately
    0.98
     Likewise
    0.97
     Lastly
    0.95
     Conversely
    0.95
    Activations Density 0.934%

    No Known Activations