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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. 10-RES-JB
    11. 5954
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ideally
    -0.66
    Contents
    -0.65
     indispensable
    -0.65
    Without
    -0.63
    xxxxxxxx
    -0.63
     whichever
    -0.62
    ople
    -0.62
    \)
    -0.62
    ream
    -0.60
    clusively
    -0.59
    POSITIVE LOGITS
     similarly
    1.25
     another
    1.09
    another
    1.01
     meanwhile
    1.01
     likewise
    0.98
     Another
    0.94
     Same
    0.94
     similar
    0.93
    Similarly
    0.93
     Similarly
    0.88
    Activations Density 0.719%

    No Known Activations