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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. 6-RES-JB
    11. 5184
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     conduc
    -0.72
     recite
    -0.66
     revolves
    -0.64
    priority
    -0.64
     downfall
    -0.63
     defences
    -0.63
     conson
    -0.63
     apart
    -0.62
    igue
    -0.62
     tending
    -0.62
    POSITIVE LOGITS
     Shutterstock
    0.83
     Wikimedia
    0.82
     Freed
    0.77
     Applied
    0.74
     Wizards
    0.74
     Photographer
    0.74
     STATS
    0.74
     Geo
    0.72
     Photography
    0.72
     Photos
    0.69
    Activations Density 0.027%

    No Known Activations