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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 8191
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    Explanations

    numerical data related to various statistics like percentages, amounts, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to incidents and trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gorge
    -0.61
     pant
    -0.59
     GF
    -0.54
     Lem
    -0.54
    etsk
    -0.53
     retina
    -0.53
     Minor
    -0.52
     alike
    -0.52
     intimately
    -0.52
     Gi
    -0.51
    POSITIVE LOGITS
    vous
    0.80
    irth
    0.74
    erva
    0.73
    vez
    0.72
    erest
    0.70
     mosqu
    0.69
    rex
    0.68
     earlier
    0.68
    ²¾
    0.67
    velt
    0.67
    Activations Density 0.191%

    No Known Activations