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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. 9-RES-JB
    11. 19948
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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
     Slate
    -0.93
     Boone
    -0.86
    aleigh
    -0.82
     Whedon
    -0.80
     Michaels
    -0.78
    Advertisement
    -0.76
    ritch
    -0.74
     BuzzFeed
    -0.74
    toggle
    -0.74
     Staten
    -0.72
    POSITIVE LOGITS
     till
    1.32
     Rs
    1.23
     lakh
    1.21
     Gujarat
    1.14
     learnt
    1.12
     Kerala
    1.12
     Hyder
    1.09
     Hindi
    1.07
    jriwal
    1.07
     Bihar
    1.06
    Activations Density 1.854%

    No Known Activations