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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. 23663
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    Explanations

    timestamps and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    temporal phrases and expressions related to time, particularly specific times and dates

    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
    aux
    -0.73
    ansk
    -0.66
    global
    -0.65
    vre
    -0.64
    BIP
    -0.64
    Trend
    -0.61
    wolves
    -0.60
    aum
    -0.58
    ivas
    -0.58
     compares
    -0.57
    POSITIVE LOGITS
     refreshed
    0.82
     morning
    0.81
     unsc
    0.74
    ursday
    0.73
     mornings
    0.71
    morning
    0.69
     paycheck
    0.69
     afternoon
    0.68
     quickest
    0.67
    onday
    0.67
    Activations Density 0.340%

    No Known Activations