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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. 6-RES-JB
    11. 7151
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    Explanations

    references to the passage of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to change or development over time

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.75
    erd
    -0.71
    IGH
    -0.71
    IUM
    -0.70
    minster
    -0.69
    awan
    -0.68
    UFF
    -0.67
     Hats
    -0.67
    iao
    -0.66
     Stuff
    -0.65
    POSITIVE LOGITS
    frames
    1.05
     periods
    1.00
     generations
    0.88
     iterations
    0.87
     millennia
    0.83
     continuum
    0.81
     cycles
    0.79
     consuming
    0.77
     ago
    0.77
     horizon
    0.75
    Activations Density 0.026%

    No Known Activations