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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. 1-RES-JB
    11. 13494
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    Explanations

    phrases related to functioning or operational activity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to functioning and operations of systems or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Uri
    -0.75
    Ult
    -0.69
    sell
    -0.67
    cott
    -0.66
    Fort
    -0.65
    fet
    -0.65
    Swe
    -0.64
     Patriarch
    -0.63
    Tre
    -0.63
    xx
    -0.63
    POSITIVE LOGITS
     functioning
    1.26
    icter
    0.98
    allery
    0.96
     Lumpur
    0.91
    folios
    0.90
    ional
    0.83
     workings
    0.82
    glers
    0.80
     Pengu
    0.79
     unemploy
    0.78
    Activations Density 0.009%

    No Known Activations