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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. 3-RES-JB
    11. 5210
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    Explanations

    names of companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    elements related to formal presentations and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    renheit
    -0.59
    NetMessage
    -0.54
     therein
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    .).
    -0.52
    ".
    -0.50
    Els
    -0.48
    unless
    -0.48
    "(
    -0.47
    instead
    -0.47
    Express
    -0.47
    POSITIVE LOGITS
    pires
    0.69
    ebted
    0.54
     recovered
    0.52
     hindsight
    0.50
     nutshell
    0.50
    pired
    0.50
    tains
    0.47
    mentioned
    0.47
    oubted
    0.46
    ¿½
    0.46
    Activations Density 3.654%

    No Known Activations