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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. 2216
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    names and titles of individuals involved in expert commentary or research

    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
    umbnails
    -0.66
     disappoint
    -0.61
    +)
    -0.60
     sabot
    -0.60
     forgotten
    -0.59
     referen
    -0.59
     desper
    -0.59
     attracts
    -0.58
     nudity
    -0.58
     punishable
    -0.58
    POSITIVE LOGITS
    chuk
    0.98
     QC
    0.97
     Jr
    0.97
    baum
    0.90
    oglu
    0.88
    meyer
    0.87
    owicz
    0.87
    opoulos
    0.87
    berger
    0.86
    atz
    0.86
    Activations Density 0.145%

    No Known Activations