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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. 22579
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    Explanations

    phrases related to broadening one's perspectives or physical directions

    oai_token-act-pair · gpt-3.5-turbo

    the word "hor" and its variations, indicating a focus on horizontal themes or concepts

    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
    lers
    -0.76
    piracy
    -0.73
     Daly
    -0.70
    ERS
    -0.69
    ortium
    -0.69
    trap
    -0.68
    ergic
    -0.68
    ieth
    -0.66
    itzer
    -0.66
    boards
    -0.66
    POSITIVE LOGITS
    izons
    1.14
     hor
    1.01
     vag
    0.79
     equival
    0.72
    gee
    0.71
     mund
    0.71
    =-=-=-=-=-=-=-=-
    0.70
    apest
    0.70
     donkey
    0.69
     Za
    0.68
    Activations Density 0.014%

    No Known Activations