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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. 7-RES-JB
    11. 7206
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    Explanations

    objects or entities with specific physical attributes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aging
    -0.68
     Population
    -0.64
     Alive
    -0.62
    inventoryQuantity
    -0.61
    Population
    -0.60
    iversary
    -0.60
    odcast
    -0.57
     Frontier
    -0.57
     Normandy
    -0.57
     Retirement
    -0.57
    POSITIVE LOGITS
    ).[
    0.92
    )).
    0.84
    .).
    0.84
    )."
    0.80
    ).
    0.76
     thereto
    0.74
     insign
    0.74
     accents
    0.71
     markings
    0.70
     initials
    0.69
    Activations Density 1.264%

    No Known Activations