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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. 9445
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    Explanations

    terms related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to high quality or exceptional standards

    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
    oshenko
    -0.84
     livest
    -0.79
    abies
    -0.79
     mathemat
    -0.79
     cumbers
    -0.75
     unden
    -0.73
    ode
    -0.72
     tiss
    -0.72
    eline
    -0.71
    ouf
    -0.71
    POSITIVE LOGITS
    orld
    0.75
    DERR
    0.71
    judicial
    0.70
    seeing
    0.70
     Petra
    0.70
    holes
    0.69
    naires
    0.67
    paio
    0.65
     Saud
    0.64
    mary
    0.64
    Activations Density 0.029%

    No Known Activations