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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. 15539
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    Explanations

    specific years in the range 2011-2013

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2011

    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
    phy
    -0.89
    inates
    -0.86
    imore
    -0.84
    onite
    -0.83
    ntil
    -0.82
    oute
    -0.79
    phia
    -0.75
    abwe
    -0.75
    odies
    -0.74
    olean
    -0.72
    POSITIVE LOGITS
    å¹
    1.00
     onwards
    0.83
    -'
    0.79
     Petraeus
    0.73
    ãĥ¼ãĥĨãĤ£
    0.72
     Revision
    0.68
     onward
    0.66
    aldo
    0.65
    01
    0.65
     Census
    0.64
    Activations Density 0.019%

    No Known Activations