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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. 665
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    Explanations

    units of time related to rapid actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to timeframes and durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    -0.73
     TOD
    -0.64
    aped
    -0.63
    valued
    -0.63
    oided
    -0.62
     reflective
    -0.61
    avior
    -0.61
    inen
    -0.59
     Purg
    -0.59
    inguished
    -0.58
    POSITIVE LOGITS
    aneously
    0.83
     radius
    0.82
     confines
    0.81
     timeframe
    0.80
     increments
    0.77
    roach
    0.73
    imester
    0.72
     margin
    0.71
     intervals
    0.68
     Horde
    0.66
    Activations Density 0.060%

    No Known Activations