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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. 4831
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    number sequences

    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
    Muslims
    -0.69
    Contribut
    -0.66
    worldly
    -0.66
    ppings
    -0.63
    Ide
    -0.62
    quartered
    -0.61
    Gene
    -0.59
    conom
    -0.58
    WARE
    -0.58
    Players
    -0.58
    POSITIVE LOGITS
     etc
    1.76
    etc
    1.25
    ...)
    1.12
     respectively
    1.03
     ...
    0.96
     &
    0.93
    âĢ¦)
    0.93
     and
    0.89
     or
    0.87
     et
    0.85
    Activations Density 0.087%

    No Known Activations