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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. 4-RES-JB
    11. 15193
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    ohan
    -0.69
    ulhu
    -0.68
    ilight
    -0.67
    undai
    -0.67
    ivals
    -0.62
    adh
    -0.62
    found
    -0.61
    ansson
    -0.61
    ashington
    -0.61
    SOURCE
    -0.61
    POSITIVE LOGITS
     parcel
    1.10
     parcels
    1.01
    meal
    0.86
    mates
    0.77
    holder
    0.75
    ificate
    0.75
    boxes
    0.73
    mate
    0.71
    ORPG
    0.68
    uary
    0.68
    Activations Density 0.005%

    No Known Activations