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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. 10-RES-JB
    11. 10143
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on" followed by numerical dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plin
    -0.77
    rors
    -0.74
    pee
    -0.69
    pees
    -0.66
    fters
    -0.65
    rament
    -0.63
    pots
    -0.63
    perse
    -0.62
    otle
    -0.61
    inis
    -0.61
    POSITIVE LOGITS
     behalf
    1.52
     July
    1.46
     September
    1.45
     June
    1.42
     April
    1.42
     October
    1.41
     December
    1.41
     January
    1.40
     February
    1.40
     August
    1.40
    Activations Density 0.160%

    No Known Activations