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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. 6640
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    Explanations

    phrases related to time and scheduling

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to uncertainty and lack of information

    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
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    No Comments

    Negative Logits
    inguished
    -0.82
    ngth
    -0.70
    adobe
    -0.67
    robat
    -0.67
    tein
    -0.67
    oir
    -0.66
    iltration
    -0.66
    ront
    -0.65
    iberal
    -0.65
    bey
    -0.62
    POSITIVE LOGITS
     timetable
    1.23
     specifics
    1.11
     announcements
    1.11
     finalized
    1.10
     timeframe
    1.10
     definite
    1.07
     timeline
    1.05
     timelines
    1.00
     plans
    0.99
     exact
    0.97
    Activations Density 0.281%

    No Known Activations