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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. 8-RES-JB
    11. 14287
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    Explanations

    sentences related to personal experiences and details about individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences or observations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    etheless
    -0.70
     respectively
    -0.59
    ]).
    -0.54
     ¯
    -0.53
     attRot
    -0.53
     accordingly
    -0.51
    ))))
    -0.51
    ''.
    -0.51
    `.
    -0.50
    )))
    -0.50
    POSITIVE LOGITS
    à¨
    0.49
     raping
    0.44
    pox
    0.44
     butcher
    0.42
     barracks
    0.42
     opium
    0.41
    umo
    0.40
     Bulgar
    0.39
    netflix
    0.39
     Ferdinand
    0.39
    Activations Density 1.980%

    No Known Activations