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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. 23689
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    Explanations

    instances where something is confined or limited

    oai_token-act-pair · gpt-3.5-turbo

    terms related to restrictions or limitations

    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
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    Negative Logits
    oker
    -0.63
    hur
    -0.61
    CHA
    -0.60
    akedown
    -0.60
     suggestion
    -0.58
    rouse
    -0.58
    ç«
    -0.55
    owe
    -0.55
    wrote
    -0.54
     appreciated
    -0.54
    POSITIVE LOGITS
     geographically
    1.02
     by
    1.00
     solely
    0.95
     territ
    0.89
     thereto
    0.83
     athlet
    0.80
     chiefly
    0.77
     principally
    0.77
    by
    0.75
     statically
    0.75
    Activations Density 0.201%

    No Known Activations