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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. 2-RES-JB
    11. 23128
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    Explanations

    years expressed in a four-digit format

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 2006

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lawy
    -0.69
    ynchron
    -0.66
     rails
    -0.65
    warts
    -0.65
     ancest
    -0.64
    uns
    -0.62
     lightsaber
    -0.61
     cogn
    -0.61
    amins
    -0.60
    akin
    -0.60
    POSITIVE LOGITS
    å¹
    1.00
    20439
    0.73
     onwards
    0.71
     Remastered
    0.70
    -'
    0.70
     Accord
    0.69
    regnancy
    0.65
    iens
    0.64
    ilton
    0.64
    itor
    0.63
    Activations Density 0.020%

    No Known Activations