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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. 5257
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    Explanations

    quantitative data and numerical comparisons

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and comparisons

    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
    Not in Any Lists

    No Comments

    Negative Logits
     intimately
    -0.66
     epit
    -0.62
     deserve
    -0.62
     pant
    -0.59
     Gorge
    -0.59
     IPM
    -0.59
     generously
    -0.59
     worthy
    -0.59
    achine
    -0.58
     alike
    -0.57
    POSITIVE LOGITS
    vous
    0.99
    vez
    0.75
    erest
    0.74
    pees
    0.73
    ague
    0.72
    osion
    0.71
    erva
    0.69
     previous
    0.68
     earlier
    0.67
     usual
    0.67
    Activations Density 0.154%

    No Known Activations