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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. 648
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    Explanations

    words related to physical locations or activities happening at specific locations

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions or processes involving "as" or "ase" endings

    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
    arious
    -1.00
    icum
    -0.90
    icter
    -0.79
    otos
    -0.77
    asted
    -0.74
    oping
    -0.74
    enegger
    -0.73
    ersive
    -0.73
    icism
    -0.73
    ilight
    -0.72
    POSITIVE LOGITS
    xual
    1.54
     Parenthood
    0.96
    hift
    0.92
    ño
    0.84
    ñ
    0.82
    holders
    0.78
    lly
    0.76
     Sap
    0.74
    76561
    0.73
    CRIP
    0.73
    Activations Density 0.037%

    No Known Activations