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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. 747
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    Explanations

    phrases related to wind or airflow

    oai_token-act-pair · gpt-3.5-turbo

    references to wind-related phenomena or conditions

    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
    Ö¼
    -0.73
     initials
    -0.70
     UD
    -0.68
     HRC
    -0.68
     locality
    -0.67
     identifiers
    -0.66
     ABE
    -0.66
    «ĺ
    -0.65
     li
    -0.64
     halftime
    -0.64
    POSITIVE LOGITS
    sensitive
    1.29
    resistant
    1.27
    condition
    1.24
    weather
    1.23
    filled
    1.20
    powered
    1.19
    based
    1.18
    tun
    1.16
    raid
    1.15
    themed
    1.14
    Activations Density 0.065%

    No Known Activations