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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. 3-RES-JB
    11. 12517
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    Explanations

    references to specific names or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific location or setting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.75
    York
    -0.70
    Union
    -0.69
    endas
    -0.67
    uez
    -0.66
    Chain
    -0.64
    Effects
    -0.63
    iage
    -0.63
    tein
    -0.62
    ilee
    -0.61
    POSITIVE LOGITS
    ãĤ®
    0.73
    iev
    0.70
    als
    0.70
    imet
    0.70
     typh
    0.70
     Galile
    0.66
    romy
    0.66
     Mew
    0.65
    ibaba
    0.64
     FANTASY
    0.64
    Activations Density 0.000%

    No Known Activations