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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. 1-RES-JB
    11. 20660
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    Explanations

    references to scheduling and appointments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scheduling and time management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ieves
    -0.81
     Sterling
    -0.72
    tein
    -0.72
    gil
    -0.71
    inion
    -0.70
    inas
    -0.69
    Tes
    -0.68
    DonaldTrump
    -0.68
    tes
    -0.68
    aunder
    -0.67
    POSITIVE LOGITS
     scheduling
    1.23
     schedules
    1.23
    dule
    1.12
     sched
    1.12
    uling
    1.10
     Sched
    1.07
    uler
    1.03
     arrang
    0.98
     schedule
    0.96
     calendars
    0.94
    Activations Density 0.005%

    No Known Activations