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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. 7-RES-JB
    11. 19512
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    Explanations

    dates in the year 2016

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2016

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    FACE
    -0.69
    angs
    -0.69
    onds
    -0.64
    imen
    -0.62
    phia
    -0.60
     cumbers
    -0.60
    ificate
    -0.59
    imar
    -0.58
    kefeller
    -0.58
     comr
    -0.58
    POSITIVE LOGITS
    20439
    1.10
    bleacher
    0.79
    å¹
    0.71
    ivari
    0.70
    âĢ²
    0.70
    âĢ³
    0.70
     onwards
    0.69
    rio
    0.65
    riots
    0.64
    loe
    0.64
    Activations Density 0.040%

    No Known Activations