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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. 12768
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    INDEX
    Explanations

    time-related information or specific points in time

    oai_token-act-pair · gpt-3.5-turbo

    references to time and uncertainty regarding events

    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
    enegger
    -0.75
    feature
    -0.69
    yi
    -0.67
    zzi
    -0.65
    kaya
    -0.64
    gur
    -0.63
    edly
    -0.62
    chens
    -0.60
    hid
    -0.60
    thal
    -0.59
    POSITIVE LOGITS
    soever
    1.06
     exactly
    0.99
    abouts
    0.82
    irlf
    0.80
    ce
    0.77
     they
    0.72
    actly
    0.66
    fore
    0.66
     else
    0.66
     prompted
    0.64
    Activations Density 0.091%

    No Known Activations