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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. 8-RES-JB
    11. 7717
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    Explanations

    numbers, including city names or sports team information

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.71
    ','
    -0.67
    bryce
    -0.67
    eatures
    -0.67
     unsurprisingly
    -0.66
     horm
    -0.65
     humane
    -0.64
     antit
    -0.63
     reversible
    -0.62
     predictably
    -0.62
    POSITIVE LOGITS
     Avg
    0.75
    etta
    0.72
     avg
    0.71
    itate
    0.71
     Median
    0.66
    inus
    0.64
     respectively
    0.63
     =================================
    0.63
     Rivals
    0.63
    Len
    0.62
    Activations Density 0.072%

    No Known Activations