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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. 4-RES-JB
    11. 24159
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    Explanations

    dates expressed in a specific format: day/month hour:minute

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods or durations

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

    No Comments

    Negative Logits
    ply
    -0.90
    tty
    -0.76
    gd
    -0.72
    Always
    -0.72
    dain
    -0.68
    Reply
    -0.67
    XY
    -0.67
    gency
    -0.66
    Tags
    -0.65
    Cole
    -0.65
    POSITIVE LOGITS
     periods
    1.18
    icals
    1.01
    ional
    0.92
     period
    0.88
    period
    0.84
    icity
    0.77
     Period
    0.76
    ical
    0.73
     elapsed
    0.72
     GMT
    0.71
    Activations Density 0.028%

    No Known Activations