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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. 14798
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    Explanations

    percentages or numerical values associated with specific years

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate statistical or numeric data trends

    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
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    No Comments

    Negative Logits
    ItemTracker
    -0.71
    monitor
    -0.68
    farious
    -0.65
    ORGE
    -0.64
    emo
    -0.63
    rang
    -0.61
    æĿ
    -0.61
    Mand
    -0.61
    way
    -0.60
    åŃ
    -0.60
    POSITIVE LOGITS
    verts
    0.79
     total
    0.78
    pees
    0.73
    heres
    0.71
    iac
    0.70
     Pes
    0.69
     Prague
    0.67
    ADS
    0.65
     increments
    0.65
     Ely
    0.65
    Activations Density 0.244%

    No Known Activations