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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. 9-RES-JB
    11. 17283
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    Explanations

    keywords related to time, such as different times of day, durations, or specific time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to time-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.79
    riad
    -0.78
    alis
    -0.72
    kef
    -0.71
    ramid
    -0.71
    ards
    -0.69
    uthor
    -0.69
    minster
    -0.68
    ourt
    -0.65
    uld
    -0.64
    POSITIVE LOGITS
    frames
    1.37
    frame
    1.07
    zone
    1.02
    outs
    1.00
     frame
    0.93
     continuum
    0.91
     elapsed
    0.90
    glass
    0.85
    piece
    0.85
    aneously
    0.81
    Activations Density 0.088%

    No Known Activations