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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. 6472
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    Explanations

    common nouns related to different groups of people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various groups of people, particularly demographics and social roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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¶
    -0.65
    ãĥĥãĥī
    -0.64
    ãĥ¼ãĥ³
    -0.59
     Horizon
    -0.59
    ãĤ¦ãĤ¹
    -0.56
    Beg
    -0.55
    ¿½
    -0.54
    Physical
    -0.53
    Prev
    -0.53
    Rober
    -0.52
    POSITIVE LOGITS
     rejoice
    1.20
     unite
    1.07
     beware
    0.95
    paces
    0.94
     deserve
    0.93
    cius
    0.90
    hips
    0.89
     are
    0.87
     agree
    0.86
     recognise
    0.85
    Activations Density 0.371%

    No Known Activations