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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. 9-RES-JB
    11. 20123
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific information structured as data entries or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsy
    -0.65
    terday
    -0.61
     Adin
    -0.57
     hindsight
    -0.56
     laz
    -0.55
    ffee
    -0.55
     crate
    -0.53
     reapp
    -0.52
     ausp
    -0.52
     inher
    -0.52
    POSITIVE LOGITS
    OTAL
    0.85
    Quantity
    0.75
    byss
    0.71
     ..............
    0.67
    ategor
    0.65
    antam
    0.63
    Squ
    0.63
    Grid
    0.63
    Total
    0.63
    Answer
    0.62
    Activations Density 0.355%

    No Known Activations