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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. 11-RES-JB
    11. 5842
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    Explanations

    timestamps and scheduling information in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    specific times and dates for events or schedules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     remission
    -0.64
    yles
    -0.63
    ients
    -0.63
     duct
    -0.61
     inherit
    -0.59
    ersen
    -0.58
     proportion
    -0.57
     belie
    -0.56
     Rug
    -0.55
    glomer
    -0.55
    POSITIVE LOGITS
    pm
    1.55
    PM
    1.53
     pm
    1.41
    AM
    1.32
    am
    1.17
     PM
    1.14
     AM
    0.98
    noon
    0.95
     p
    0.91
     am
    0.91
    Activations Density 0.089%

    No Known Activations