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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. 4496
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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
    ãĤ´ãĥ³
    -0.76
     mete
    -0.70
    azeera
    -0.70
    renheit
    -0.68
    ripp
    -0.67
    rition
    -0.67
    axis
    -0.67
    ross
    -0.66
    ict
    -0.66
     attRot
    -0.65
    POSITIVE LOGITS
     bedrooms
    0.93
     homes
    0.93
     undet
    0.88
     unprotected
    0.86
     residences
    0.84
     unsuspecting
    0.83
     dwellings
    0.81
     unnoticed
    0.79
     unlocked
    0.78
     pockets
    0.78
    Activations Density 0.231%

    No Known Activations