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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. 7-RES-JB
    11. 4959
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    Explanations

    time-related phrases such as 'hours', 'minutes', 'days', and 'seconds'

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote specific time intervals or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acus
    -0.70
     dearly
    -0.67
    ramid
    -0.64
    imir
    -0.63
    valued
    -0.62
    odynam
    -0.62
    respect
    -0.60
    oided
    -0.60
    avior
    -0.60
    aped
    -0.59
    POSITIVE LOGITS
    aneously
    0.76
     radius
    0.73
     confines
    0.69
     increments
    0.69
     timeframe
    0.69
     Horde
    0.68
     thereafter
    0.68
    eme
    0.67
    ÃĽ
    0.66
     vicinity
    0.65
    Activations Density 0.056%

    No Known Activations