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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. 7543
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    Explanations

    dates and occasions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and times

    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
    Not in Any Lists

    No Comments

    Negative Logits
     spared
    -0.69
     delegate
    -0.68
    ingham
    -0.66
    inventoryQuantity
    -0.66
     restricts
    -0.66
     forb
    -0.65
     guarant
    -0.65
     shrug
    -0.64
     references
    -0.64
     assemb
    -0.64
    POSITIVE LOGITS
     November
    0.82
     September
    0.79
     Sept
    0.79
     Nov
    0.78
     December
    0.77
     January
    0.77
    September
    0.77
     behalf
    0.74
     Feb
    0.74
     February
    0.73
    Activations Density 0.085%

    No Known Activations