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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. 9-RES-JB
    11. 8585
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    Explanations

    words related to airflow and air quality

    oai_token-act-pair · gpt-3.5-turbo

    references to air and air-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hots
    -0.74
    llan
    -0.70
     Saur
    -0.68
     Cla
    -0.65
     Ara
    -0.64
     Barcl
    -0.62
    enance
    -0.62
    initions
    -0.60
     Suc
    -0.60
     Cod
    -0.60
    POSITIVE LOGITS
    waves
    1.30
    bnb
    1.27
    tight
    1.17
     conditioning
    1.16
    ships
    1.13
    ship
    1.12
    condition
    1.05
    planes
    1.01
    plane
    0.98
    brush
    0.98
    Activations Density 0.029%

    No Known Activations