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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. 6892
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    oai_token-act-pair · gpt-3.5-turbo
    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
     predec
    -0.68
    zens
    -0.65
     archaeological
    -0.64
     composing
    -0.64
    itialized
    -0.63
    eteen
    -0.63
    ence
    -0.62
    ixt
    -0.61
     overt
    -0.61
     occup
    -0.61
    POSITIVE LOGITS
     Also
    1.12
     Wouldn
    1.07
     Especially
    1.07
     Additionally
    1.04
     NOTE
    1.01
     Alternatively
    1.01
     Please
    1.00
     Seems
    1.00
     Explain
    0.98
     Ideally
    0.96
    Activations Density 0.503%

    No Known Activations