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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. 24275
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    Explanations

    words related to personal opinions and statements about individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly of people

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    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
    Negative Logits
    ardless
    -0.74
     privile
    -0.72
    ĵĺ
    -0.67
     disproportion
    -0.65
     unlaw
    -0.65
     stripping
    -0.63
     horizont
    -0.61
    noon
    -0.61
     impair
    -0.59
    £ı
    -0.58
    POSITIVE LOGITS
     said
    1.40
     exclaimed
    1.27
     told
    1.27
     wrote
    1.22
     replied
    1.20
     says
    1.18
     explained
    1.15
     remarked
    1.11
     joked
    1.10
     quoted
    1.07
    Activations Density 0.229%

    No Known Activations