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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. 0-RES-JB
    11. 23281
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    Explanations

    words related to scheduling or timetables, including terms like "scheduled" or "rescheduling."

    oai_token-act-pair · gpt-3.5-turbo

    words related to scheduling and arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rad
    -0.64
    anthrop
    -0.62
     flu
    -0.62
     ric
    -0.61
     ghost
    -0.61
     detective
    -0.59
     arr
    -0.59
     Jaguar
    -0.59
     novel
    -0.59
     greater
    -0.59
    POSITIVE LOGITS
    uled
    4.23
    uling
    3.88
    uler
    3.09
    ules
    2.32
    ULE
    2.14
    ulously
    1.50
    ule
    1.45
    idden
    1.35
    uli
    1.29
    dule
    1.27
    Activations Density 0.022%

    No Known Activations