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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. 1-RES-JB
    11. 8827
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    Explanations

    numerical codes or references

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to population or economic figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ushi
    -0.73
    itud
    -0.72
    istic
    -0.70
    fare
    -0.69
    atis
    -0.68
     Organisation
    -0.66
    aries
    -0.65
    arak
    -0.65
    skirts
    -0.65
    isan
    -0.65
    POSITIVE LOGITS
    yne
    0.80
    phrine
    0.79
    cffff
    0.78
    OPLE
    0.76
    333
    0.74
    302
    0.74
    mble
    0.72
    307
    0.70
    303
    0.70
    entanyl
    0.69
    Activations Density 0.025%

    No Known Activations