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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. 17539
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal or accountability issues

    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
     redes
    -0.54
    oso
    -0.49
    itton
    -0.48
     IOC
    -0.47
    Eva
    -0.47
    anwhile
    -0.47
     assorted
    -0.46
     Lithuan
    -0.46
     respectively
    -0.45
     Dimension
    -0.44
    POSITIVE LOGITS
     anymore
    1.84
     nor
    1.72
    nor
    1.13
     whatsoever
    1.02
    yet
    1.00
     slightest
    0.96
     anywhere
    0.96
     anything
    0.96
     anybody
    0.91
     any
    0.90
    Activations Density 1.884%

    No Known Activations