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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. 11597
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    Explanations

    words related to recommendations or advice

    oai_token-act-pair · gpt-3.5-turbo

    statements related to rules or recommendations

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    adelphia
    -0.68
    ukemia
    -0.67
    aido
    -0.67
    ÃŃa
    -0.66
    oulos
    -0.66
    culus
    -0.65
    onto
    -0.64
    izon
    -0.61
    cin
    -0.61
    ynasty
    -0.60
    POSITIVE LOGITS
     therefore
    0.95
     consequently
    0.91
     accordingly
    0.87
     alike
    0.79
    entious
    0.74
    urable
    0.70
    )}
    0.69
    must
    0.68
    some
    0.65
    kish
    0.64
    Activations Density 0.515%

    No Known Activations