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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. 8-RES-JB
    11. 1768
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    Explanations

    phrases related to specific names and titles, often associated with information or references

    oai_token-act-pair · gpt-3.5-turbo

    specific substrings or patterns within words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spock
    -0.70
     psychiat
    -0.67
    ndra
    -0.67
     stiffness
    -0.64
    frames
    -0.64
     Saban
    -0.63
     Cheong
    -0.62
     Celsius
    -0.60
    WARD
    -0.59
     Shank
    -0.55
    POSITIVE LOGITS
    ornia
    0.94
    ioxide
    0.80
    CLE
    0.77
    tions
    0.76
    aires
    0.75
    atible
    0.75
    ulhu
    0.73
    rities
    0.72
    fig
    0.72
    gee
    0.71
    Activations Density 0.225%

    No Known Activations