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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. 16291
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    Explanations

    information related to historical contexts and cultural practices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to culinary practices and cultural nuances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Gov
    -0.82
     POLITICO
    -0.76
     Bezos
    -0.74
    alyst
    -0.73
     Spotlight
    -0.73
    brainer
    -0.69
     Infrastructure
    -0.69
     Fiscal
    -0.68
    ĪĴ
    -0.68
    ylan
    -0.67
    POSITIVE LOGITS
    tymology
    1.17
    adays
    1.03
     folklore
    1.02
     variants
    0.95
     practiced
    0.93
     variations
    0.93
     commonly
    0.93
     practise
    0.91
     variation
    0.90
     derog
    0.90
    Activations Density 0.836%

    No Known Activations