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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. 10-RES-JB
    11. 2867
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aday
    -0.70
    illon
    -0.68
    hound
    -0.67
    ably
    -0.65
    olate
    -0.64
    ource
    -0.64
    han
    -0.63
    merce
    -0.62
    fx
    -0.62
     besides
    -0.62
    POSITIVE LOGITS
     opportunity
    1.43
     chance
    1.13
     impression
    1.11
     creeps
    1.08
     option
    1.06
     ability
    0.98
     utmost
    0.98
     privilege
    0.97
     fullest
    0.96
     keys
    0.96
    Activations Density 0.097%

    No Known Activations